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Journal articles on the topic 'Grayscale image format'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Abdul-Wahab, Sami Ibrahim, and Jumaa Sartep2 Hind. "Transfer color from color image to grayscale image." International Journal of Engineering Research and Advanced Technology (IJERAT) 3, no. 3 (2017): 18–25. https://doi.org/10.5281/zenodo.438115.

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While there exist various techniques that can be used in coloring a grayscale image , in this paper we present new methods of colorization of grayscale image by transfer color between source color image to target grayscale image , generally colorizing grayscale image involves color space ,source color image and target greyscale image , here in this method we trying to minimize the human efforts needed in manually coloring the grayscale image , the human interaction is needed only to select a source color image , then the job of transfer color traits from source color image to grayscale image i

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Wang, Fang Chao, Sen Bai, Bo Zhao, and Nan He. "Grayscale Image Compression and Encryption Based on Format Conversion." Applied Mechanics and Materials 411-414 (September 2013): 1193–96. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1193.

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In this paper, we describe a novel encryption algorithm, which converts a greyscale image into a colored JPEG image. Firstly, it creates MCU (Minimum Coding Unit) of the colored JPEG image from the DU (Data Unit) of the greyscale image by the 8x8 construction matrix randomly. Secondly, it shuffles all the DUs with quantized DCT (Discrete Cosine Transform) coefficients according to a random ergodic matrix. Lastly, it rearranges the DUs as the format of the colored JPEG image and proceeds with the normal compression and encoding. The results show that the encryption speed of the algorithm is fas

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Silalahi, Evelyn Keisha, and Ichwanul Muslim Karo Karo. "Penerapan Konsep Matriks dalam Aljabar Linear untuk Mengubah Citra Berwarna (RGB) Menjadi Grayscale Menggunakan Octave dengan GUI." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 8, no. 2 (2025): 1078–83. https://doi.org/10.32672/jnkti.v8i2.8994.

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Abstrak - Penelitian ini bertujuan untuk menerapkan konsep matriks dalam aljabar linear dalam proses konversi citra berwarna (RGB) menjadi grayscale menggunakan perangkat lunak Octave dengan antarmuka grafis pengguna (GUI). Citra berwarna biasanya direpresentasikan dalam format RGB yang terdiri dari tiga kanal warna: merah (Red), hijau (Green), dan biru (Blue). Konversi dari citra berwarna ke grayscale dilakukan dengan memanfaatkan rumus kombinasi linier, di mana setiap komponen warna dikalikan dengan bobot tertentu, yaitu Y = 0.2989 * R + 0.5870 * G + 0.1140 * B. Rumus ini menggambarkan prose

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Liu, Han-Ming, Zhao-Fa Liu, Zi Li, et al. "Genome-wide association study on color-image-based convolutional neural networks." PeerJ 13 (January 13, 2025): e18822. https://doi.org/10.7717/peerj.18822.

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Background Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and have been applied to genomics. It requires converting genotype data to image format when employing convolutional neural networks to genome-wide association studies. Existing studies converting the data into grayscale images have shown promising. However, the grayscale image may cause the loss of information of the genotype data. Methods In order to make full use of the information, we proposed a new method, color-image-based convolutional neural networks, by converting the data into c

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Lumbantobing, Theresia. "Implementasi Metode Felics Pada Kompresi Citra Format GIF." Jurnal Ilmu Komputer, Teknologi Dan Informasi 3, no. 1 (2025): 31–38. https://doi.org/10.62866/jurikti.v3i1.195.

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At this time, the increasingly rapid development of science and technology makes two-dimensional image files very necessary, where the resulting image size is large, requiring very large storage media, and other problems arise when exchanging data and information which increasingly consumes time and bandwidth. Therefore, a solution to the problem above emerged, namely by data compression. Data compression or data compression is a way in computer science to require smaller storage space, so that storage is more efficient. This is a compression method designed for grayscale images. The FELICS me

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Kirov, Nikolay, Milcho Tsvetkov, and Katya Tsvetkova. "Software Tools for Digitization of Astronomical Photographic Plates." Serdica Journal of Computing 6, no. 1 (2012): 67–76. http://dx.doi.org/10.55630/sjc.2012.6.67-76.

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In this paper we present tools for helping the process of digitization of astronomical photographic plates. The requirements of Virtual Observatory presume that any FITS file, which contains a digital image, has to be equipped with a complete header. Wide-Field Plate Database (WFPDB) offers most of the meta-data needed for the creation of FITS header. The header2011 software gives the user an appropriate tool for connecting WFPDB catalogues to digitized plate images. The use of modern scanners sometimes imposes conversion of files from the inner format of the scanner (or driver) into FITS form

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Atika Sari, Christy, Eko Hari Rachmawanto, and Christanto Antonius Haryanto. "Cryptography Triple Data Encryption Standard (3DES) for Digital Image Security." Scientific Journal of Informatics 5, no. 2 (2018): 105–17. http://dx.doi.org/10.15294/sji.v5i2.14844.

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Advances in technology in the field of internet, making the Internet become the most popular data transmission media for now. This is certainly not free from the incidence of cyber crime, such as theft and data modification. Given the losses caused by data manipulation is very detrimental to the owner, then the original data can be misused in the cyber world. Cryptography offers an algorithm for randomizing data, so it can not be read by unauthorized people. The cryptography technique was implemented using Triple Data Encyption Standard (3DES) given the results of a randomized cryptographic al

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Juli Elprida Hutagalung, Mhd Ihsan Pohan, and Yuli Happy Marpaung. "Identifikasi Kesegaran Ikan Nila menggunakan Teknik Citra Digital." JUKI : Jurnal Komputer dan Informatika 2, no. 1 (2020): 6–10. http://dx.doi.org/10.53842/juki.v2i1.23.

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Fish contain many nutrients that are very beneficial for the body, but often fish are traded in a state of death as well as being alive. To observe the freshness of tilapia is done by the introduction of color changes that appear on digital images using the least squares method. The purpose of this research is to build an image management application system to detect the freshness of tilapia. The data used are 10 samples of tilapia images which are photographed every 1 hour for 15 hours and obtained 150 image data and then processed and analyzed using the least squares method. The first proces

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Zhang, Yue, and Ting Ting Gao. "VC-Based Rutting Digital Imaging Automatic Detection Technology Research and Design for Road Construction." Advanced Materials Research 461 (February 2012): 370–72. http://dx.doi.org/10.4028/www.scientific.net/amr.461.370.

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With the road construction, an automatic detection of road surface of rutting will be the main detection methods. VC-based digital imaging detection technology has an advantage of the vehicle, such as a simple structure, amount of data storage capacity, less affected by vehicle vibration. This article based on digital imaging technology detects grayscale bitmap format captured image information of the rutting. It focused on the grayscale bitmap image processing. The article shows that by generating curve can accurately reflect the actual situation of the road. And it can greatly improve the ef

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Murthy T. S., Deepthi, and Sadashivappa G. "Framework for comprehensive enhancement of brain tumor images with single-window operation." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 801. http://dx.doi.org/10.11591/ijece.v10i1.pp801-808.

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Usage of grayscale format of radiological images is proportionately more as compared to that of colored one. This format of medical image suffers from all the possibility of improper clinical inference which will lead to error-prone analysis in further usage of such images in disease detection or classification. Therefore, we present a framework that offers single-window operation with a set of image enhancing algorithm meant for further optimizing the visuality of medical images. The framework performs preliminary pre-processing operation followed by implication of linear and non-linear filte

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Deepthi, Murthy T. S., and G. Sadashivappa. "Framework for comprehensive enhancement of brain tumor images with single-window operation." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 801–8. https://doi.org/10.11591/ijece.v10i1.pp801-808.

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Usage of grayscale format of radiological images is proportionately more as compared to that of colored one. This format of medical image suffers from all the possibility of improper clinical inference which will lead to error-prone analysis in further usage of such images in disease detection or classification. Therefore, we present a framework that offers single-window operation with a set of image enhancing algorithm meant for further optimizing the visuality of medical images. The framework performs preliminary pre-processing operation followed by implication of linear and non-linear filte

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Žeger, Ivana, Ivan Šetka, Domagoj Marić, and Sonja Grgic. "Exploring Image Decolorization: Methods, Implementations, and Performance Assessment." Applied Sciences 14, no. 23 (2024): 11401. https://doi.org/10.3390/app142311401.

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Decolorization is an image processing technique that converts a color input image into a grayscale image. This paper discusses the decolorization process and provides an overview of the methods based on the different principles used: basic conversion from RGB to YUV format using ITU Recommendations 601, 709, and 2020; basic conversion from RGB to LAB color space; the method using cumulative distribution function of color channels; one global decolorization method; and one based on deep learning. The grayscale images produced by these methods were evaluated using four objective metrics, allowin

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Sunardi, Abdul Fadlil, and Novi Tristanti. "The Application of The Manhattan Method to Human Face Recognition." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 6 (2022): 939–44. http://dx.doi.org/10.29207/resti.v6i6.4265.

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In face recognition, the input image used will be converted into a simple image, which will then be analyzed. The analysis was carried out by calculating the distance of data similarity. In the process of measuring data similarity distances, they often experience problems implementing complex algorithm formulas. This research will solve this problem by implementing the Manhattan method as a method of measuring data similarity distances. In this study, it is hoped that the Manhattan method can be used properly in the process of matching test images and training images by calculating the proximi

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Aidilia, Yunda, and Sriani Sriani. "Image Quality Restoration on Historical Artifacts Using Histogram Equalization and Contrast Stretching Methods." Journal La Multiapp 5, no. 4 (2024): 286–303. http://dx.doi.org/10.37899/journallamultiapp.v5i4.1442.

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This research was carried out to improve the image quality of historical artifacts that experience quality degradation such as noise, unclear or dark image contrast, and poor sharpness. Contrast Stretching and Histogram Equalization are image quality improvement methods to expand and even out image grayscale. This research aims to build a system for improving image quality on historical artifacts using contrast stretching and histogram equalization methods. The sample used in this research is RGB image data with 10 test images in .jpg format, while the process uses the Matlab programming langu

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Singh, Shivang Kumar. "Image Colorization using CNN." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 515–21. http://dx.doi.org/10.22214/ijraset.2024.65033.

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It is indeed a challenging task to determine the originality of an image presented in grayscale format. In this paper, we aim to restore the image to its original color. We will utilize machine learning algorithms, trained on thousands of samples, to accurately colorize the input image. The system functions as a feed-forward pass in a CNN during the testing phase, utilizing a training set of over one million color images. To evaluate our algorithm, we conduct a “Colorization Turing test,” where participants are tasked with distinguishing between generated color images and original ones. Our me

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Rouagubi, Abdelkabir, Chaymae El Youssofi, and Khalid Chougdali. "Classifying IoT firmware security threats using image analysis and deep learning." International Journal of Reconfigurable and Embedded Systems (IJRES) 14, no. 2 (2025): 546. https://doi.org/10.11591/ijres.v14.i2.pp546-557.

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<p>As the internet of things (IoT) grows, its embedded devices face increasing vulnerability to firmware-based attacks. The lack of robust security mechanisms in IoT devices makes them susceptible to malicious firmware updates, potentially compromising entire networks. This study addresses the classification of IoT firmware security threats using deep learning and image-based analysis techniques. A publicly available dataset of 32×32 grayscale images, derived from IoT firmware samples and categorized as benignware, hackware, and malware, was utilized. The grayscale images were converted

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Anwar, Fuad, Mohtar Yunianto*, and Rahmanisya Fani Aisha Putri. "Tuberculosis Detection using Gray Level Co-Occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN) Algorithms." Aceh International Journal of Science and Technology 12, no. 3 (2023): 402–10. http://dx.doi.org/10.13170/aijst.12.3.33241.

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Research has been conducted on detecting tuberculosis (TB) using machine learning. In this study, chest X-ray (CXR) image data was used with a pixel value of 512 x 512 and PNG format consisting of normal lung images and TB-infected lung images in a 50:50 ratio; the number of images was 200 training data images and 80 testing data images. In the preprocessing stage, grayscaling is carried out so the image has a grayscale. Then, do the image improvement using contrast stretching. Furthermore, image extraction was carried out using 22 GLCM features with variations in the direction of the angles o

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Pawłowski, Paweł, and Karol Piniarski. "Efficient Lossy Compression of Video Sequences of Automotive High-Dynamic Range Image Sensors for Advanced Driver-Assistance Systems and Autonomous Vehicles." Electronics 13, no. 18 (2024): 3651. http://dx.doi.org/10.3390/electronics13183651.

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In this paper, we introduce an efficient lossy coding procedure specifically tailored for handling video sequences of automotive high-dynamic range (HDR) image sensors in advanced driver-assistance systems (ADASs) for autonomous vehicles. Nowadays, mainly for security reasons, lossless compression is used in the automotive industry. However, it offers very low compression rates. To obtain higher compression rates, we suggest using lossy codecs, especially when testing image processing algorithms in software in-the-loop (SiL) or hardware-in-the-loop (HiL) conditions. Our approach leverages the

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Raheem, Khamael Raqim, and Hafedh Ali Shabat. "An Otsu thresholding for images based on a nature-inspired optimization algorithm." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 2 (2023): 933. http://dx.doi.org/10.11591/ijeecs.v31.i2.pp933-944.

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Thresholding is a type of image segmentation, where the pixels change to make the image easier to analyze. In bi-level thresholding, the image in grayscale format is transformed into a binary format. The traditional methods for image thresholding may be inefficient in finding the best threshold and take longer computation time. Recently, metaheuristic swarm-based algorithms were applied for optimization in different applications to find optimal solutions with minimum computational time. The proposed work aims to optimize the fitness function obtained by the Otsu algorithm using a metaheuristic

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Khamael, Raqim Raheem, and Ali Shabat Hafedh. "An Otsu thresholding for images based on a nature-inspired optimization algorithm." An Otsu thresholding for images based on a nature-inspired optimization algorithm 31, no. 2 (2023): 933–44. https://doi.org/10.11591/ijeecs.v31.i2.pp933-944.

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Thresholding is a type of image segmentation, where the pixels change to make the image easier to analyze. In bi-level thresholding, the image in grayscale format is transformed into a binary format. The traditional methods for image thresholding may be inefficient in finding the best threshold and take longer computation time. Recently, metaheuristic swarm-based algorithms were applied for optimization in different applications to find optimal solutions with minimum computational time. The proposed work aims to optimize the fitness function obtained by the Otsu algorithm using a metaheuristic

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Ortega, Jennifer. "Visualization and Segmentation of Lung Tissue in DICOM-format CT Images." Journal of Physics: Conference Series 2796, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1742-6596/2796/1/012012.

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Abstract In this project, two tools were developed as a preliminary step towards the creation of future Computer-Aided Diagnosis systems for the automatic detection of lung diseases. The first methodology aimed to extract information from DICOM-format files using Python and the Jupyter Notebook programming environment. The implemented process enables the generation of images in various anatomical planes, using the pixel matrix in Hounsfield units. Additionally, a custom tool was developed for anonymizing and visualizing file information. The techniques employed are independent of the grayscale

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Wu, Tirui, Ciaran Eising, Martin Glavin, and Edward Jones. "An Efficient and Effective Image Decolorization Algorithm Based on Cumulative Distribution Function." Journal of Imaging 10, no. 3 (2024): 51. http://dx.doi.org/10.3390/jimaging10030051.

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Image decolorization is an image pre-processing step which is widely used in image analysis, computer vision, and printing applications. The most commonly used methods give each color channel (e.g., the R component in RGB format, or the Y component of an image in CIE-XYZ format) a constant weight without considering image content. This approach is simple and fast, but it may cause significant information loss when images contain too many isoluminant colors. In this paper, we propose a new method which is not only efficient, but also can preserve a higher level of image contrast and detail than

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Tarun, Kumar* Pranaw Kumar Tripathi. "Scientific innovation in agriculture: image processing for livestock management and empowering Indian youth for global leadership in Viksit Bharat." Vet Farm Frontier 02, no. 02 (2025): 30–33. https://doi.org/10.5281/zenodo.14998382.

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Modern livestock management relies heavily on image processing, which allows for advances in body weight prediction, breed recognition, and individual animal identification. It entails transferring visual data to a digital format for analysis, using techniques such as picture thresholding, segmentation, and feature extraction. The technique uses a variety of picture formats, including binary, grayscale, depth, RGB, and infrared. Body condition grading, breed categorization, and early illness diagnosis are among the most important uses. Recent research have shown that 3D cameras and convolution

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Gomez-Coronel, Sandra L., Ernesto Moya-Albor, Jorge Brieva, and Andrés Romero-Arellano. "A Robust and Secure Watermarking Approach Based on Hermite Transform and SVD-DCT." Applied Sciences 13, no. 14 (2023): 8430. http://dx.doi.org/10.3390/app13148430.

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Currently, algorithms to embed watermarks into digital images are increasing exponentially, for example in image copyright protection. However, when a watermarking algorithm is applied, the preservation of the image’s quality is of utmost importance, for example in medical images, where improper embedding of the watermark could change the patient’s diagnosis. On the other hand, in digital images distributed over the Internet, the owner of the images must also be protected. In this work, an imperceptible, robust, secure, and hybrid watermarking algorithm is presented for copyright protection. I

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Riski, Abduh, Heri Purwantoro, and Ahmad Kamsyakawuni. "PENYEMBUNYIAN CIPHERTEXT ALGORITMA GOST PADA CITRA KE DALAM AUDIO DENGAN METODE LEAST SIGNIFICANT BIT." Jurnal Ilmiah Matematika dan Pendidikan Matematika 10, no. 2 (2018): 49. http://dx.doi.org/10.20884/1.jmp.2018.10.2.2844.

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Government Standard (GOST) is a 64-bit block cipher algorithm with 32 round, use a 256-bit key. The weakness of this algorithm is the keys so simple, than make cryptanalyst easy to break this algorithm. Least Significant Bit (LSB) use to insert message into another form without changing the form of the cover after insertion. This research does by hiding encrypted ciphertext to image and hiding image into audio. This research use grayscale and RBG image with BMP and PNG format. Audio using music with wav format. Security analysis using differential analysis NPCR and UACI. Security analysis aims

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Nuñez-Perez, Jose-Cruz, Miguel-Angel Estudillo-Valdez, Yuma Sandoval-Ibarra, and Vincent-Ademola Adeyemi. "FPGA Realization of an Image Encryption System Using a 16-CPSK Modulation Technique." Electronics 13, no. 22 (2024): 4337. http://dx.doi.org/10.3390/electronics13224337.

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Nowadays, M-Quadrature Amplitude Modulation (M-QAM) techniques are widely used to modulate information by bit packets due to their ability to increase transfer rates. These techniques require more power when increasing the modulation index M to avoid interference between symbols. This article proposes a technique that does not suffer from interference between symbols, but instead uses memory elements to store the modulation symbols. In addition, the aim of this paper is to implement a four-dimensional reconfigurable chaotic oscillator that generates 16-Chaotic Phase Shift Keying (16-CPSK) modu

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Lee, Sae-Rom, and Ju-Hee Kang. "Development and evaluation of a phantom for CBCT image quality control of dental hygienists." Journal of Korean Society of Dental Hygiene 25, no. 2 (2025): 125–32. https://doi.org/10.13065/jksdh.2025.25.2.4.

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Objectives: We developed a phantom to assess the quality of cone-beam computed tomography (CBCT) images using materials commonly used in dentistry. This study aimed to raise awareness and promote ongoing education for dental hygienists in the f ield of CBCT image quality control. Methods: The phantom and instruments were scanned using CBCT at 80 kVp and 10 mA, with an exposure time of 17s. The images were evaluated for contrast resolution, uniformity, and metal artifacts. The acquired images were extracted and analyzed in the DICOM format using On-Demand 3D software. Results: The images showed

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Ahmad, Ijaz, and Seokjoo Shin. "A Perceptual Encryption-Based Image Communication System for Deep Learning-Based Tuberculosis Diagnosis Using Healthcare Cloud Services." Electronics 11, no. 16 (2022): 2514. http://dx.doi.org/10.3390/electronics11162514.

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Block-based perceptual encryption (PE) algorithms are becoming popular for multimedia data protection because of their low computational demands and format-compliancy with the JPEG standard. In conventional methods, a colored image as an input is a prerequisite to enable smaller block size for better security. However, in domains such as medical image processing, unavailability of color images makes PE methods inadequate for their secure transmission and storage. Therefore, this study proposes a PE method that is applicable for both color and grayscale images. In the proposed method, efficienc

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Azri, Muhammad Farid, Iwan Istanto, Ismail Ismail, and Yuli Astriani. "3D Digital Tomography Image Reconstruction to Determine the Dimensions of Discontinuities in the Material Using MATLAB." Mekanika: Majalah Ilmiah Mekanika 23, no. 2 (2024): 82. https://doi.org/10.20961/mekanika.v23i2.85293.

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To acquire more accurate information, such as the existence of discontinuities on an object from 2D digital radiography images, a reconstructed 3D image using a tomography technique is needed. In this paper, an algorithm was developed to determine the discontinuity dimension. The object used in this study is made of gypsum, which has three types of artificial discontinuities: a 4.80 mm iron ball, an 8.00 mm iron ball, and drill holes. The processes to get projection data consist of preprocessing to convert the images from red-green-blue to grayscale image format, segmentation to differentiate

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Bhandawale, Swapnil. "“Decoding Bird Species Diversity through Image Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34414.

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Bird species diversity plays an integral role in maintaining ecosystem equilibrium and serves as a significant indicator of environmental health. However, the meticulous monitoring and cataloging of bird species within specific regions pose considerable challenges, often requiring extensive time and expertise from ornithologists. In today's rapidly advancing technological landscape, the integration of image analysis and machine learning presents a promising avenue to streamline bird species identification and diversity assessment processes. Nonetheless, the increasing rarity of certain bird sp

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Amin, M. Miftakul. "IMAGE STEGANOGRAPHY DENGAN METODE LEAST SIGNIFICANT BIT (LSB)." CSRID (Computer Science Research and Its Development Journal) 6, no. 1 (2015): 53. http://dx.doi.org/10.22303/csrid.6.1.2014.53-64.

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<p>ABSTRAK <br /> <br />Keamanan dalam menyampaikan pesan rahasia merupakan faktor penting dalam penyebaran informasi di dunia maya. Melindungi supaya pesan yang akan dikirimkan sampai kepada pihak yang berhak, perlu dibuat sebuah mekanisme penyembunyian pesan. Tujuan dari penelitian ini adalah menyembunyikan pesan berupa teks rahasia ke dalam citra digital true colour 24 bit dalam format RGB. Metode yang digunakan untuk menyisipkan pesan rahasia menggunakan metode LSB (Least Significant Bit) dengan mengganti bit terakhir atau bit ke-8 dalam setiap komponen warna RGB. <br

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Abdul-Jaleel Al-Asady, Heba, Hassan Falah Fakhruldeen, and Yousif Mudhafar. "AN IMAGE ENCRYPTION METHOD BASED ON LOGISTICAL CHAOTIC MAPS TO ENCRYPT COMMUNICATION DATA." Kufa Journal of Engineering 15, no. 4 (2024): 55–64. http://dx.doi.org/10.30572/2018/kje/150405.

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Encryption is crucial because of how integral to daily life things like smartphones, computers, and the internet have become. It's almost inconceivable to think about getting by without it. Everything from paying bills and buying goods to email and social networking is done online nowadays. Participating in measures that can prevent illegal access to our accounts, data, and devices is more crucial than ever. In this study, we combined a 256-by-256-pixel cover picture with a 128-by-128-pixel inner image using the logistic map (the chaotic function), where both images were in the PNG format. whe

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Škrabánek, Pavel, and Petr Doležel. "Robust Grape Detector Based on SVMs and HOG Features." Computational Intelligence and Neuroscience 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/3478602.

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Detection of grapes in real-life images is a serious task solved by researchers dealing with precision viticulture. In the case of white wine varieties, grape detectors based on SVMs classifiers, in combination with a HOG descriptor, have proven to be very efficient. Simplified versions of the detectors seem to be the best solution for practical applications. They offer the best known performance versus time-complexity ratio. As our research showed, a conversion of RGB images to grayscale format, which is implemented at an image preprocessing level, is ideal means for further improvement of pe

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Gu, Chanhoe, and Minhyeok Lee. "Deep Transfer Learning Using Real-World Image Features for Medical Image Classification, with a Case Study on Pneumonia X-ray Images." Bioengineering 11, no. 4 (2024): 406. http://dx.doi.org/10.3390/bioengineering11040406.

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Deep learning has profoundly influenced various domains, particularly medical image analysis. Traditional transfer learning approaches in this field rely on models pretrained on domain-specific medical datasets, which limits their generalizability and accessibility. In this study, we propose a novel framework called real-world feature transfer learning, which utilizes backbone models initially trained on large-scale general-purpose datasets such as ImageNet. We evaluate the effectiveness and robustness of this approach compared to models trained from scratch, focusing on the task of classifyin

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Fairuz Mumtaz, Ghina, Junta Zeniarja, Ardytha Luthfiarta, and Almas Najiib Imam Muttaqin. "Optimizing Face Recognition and Emotion Detection in Student Identification Using FaceNet and YOLOv8 Models." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 10, no. 1 (2025): 34–44. https://doi.org/10.25139/inform.v10i1.9304.

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The growing need for efficient student identification systems has driven advancements in face recognition and emotion detection technologies. This research presents a single-photo-based system that integrates YOLOv8 for face detection and FaceNet for generating unique facial embeddings, ensuring high-precision student identification and consistent emotion detection under diverse conditions. YOLOv8 localizes faces within images, while FaceNet processes them to generate embeddings for recognition. Emotion detection is performed using these embeddings or an auxiliary emotion classification model.

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Susanty, Meredita, and Herminarto Nugroho. "OPTICAL CHARACTER RECOGNITION IMPLEMENTATION FOR ADMISSION SYSTEM IN UNIVERSITAS PERTAMINA." Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 11, no. 1 (2020): 165–70. http://dx.doi.org/10.24176/simet.v11i1.3838.

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Starting in 2019, prospective college students require to take Computer-Based Writing Exam (UTBK) to register for the state universities in Indonesia. Some private university also adopts this exam as a requirement for admission. One of the private university that adopts it is Universitas Pertamina. UTBK consist of several exam group score printed in a digital certificate in image format (jpg). The university admission team must download the UTBK certificate that has uploaded by applicants, read and record the score for each exam group then make a calculation to make a decision whether the appl

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NOVAMIZANTI, LEDYA, and ADRIAN KURNIA. "Analisis Perbandingan Kompresi Haar Wavelet Transform dengan Embedded Zerotree Wavelet pada Citra." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 3, no. 2 (2015): 161. http://dx.doi.org/10.26760/elkomika.v3i2.161.

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ABSTRAKKompresi data merupakan salah satu teknologi pemicu revolusi multimedia. Haar Wavelet mampu merepresentasikan ciri tekstur dan bentuk, sedangkan Embedded Zerotree Wavelet (EZW) mampu menyusun bit-bit menurut tingkat prioritas, sehingga mampu mencapai kompresi maksimal. Pada penelitian ini telah dilakukan perbandingan Haar Wavelet Transform dengan Embendded Zerotree Wavelet untuk kompresi citra. Pengujian menggunakan 4 citra grayscale berformat bitmap (.bmp) dengan resolusi 256x256 dan 512x512. Rasio Kompresi yang diperoleh dengan menggunakan algoritma Embedded Zerotree Wavelet dan Haar

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Mohammed, Rasool Jawad. "Producing of High Quality Colored Images using scalable image processing techniques." LC International Journal of STEM 4, no. 4 (2024): 10–24. https://doi.org/10.5281/zenodo.10594220.

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One of the many digital approaches that came from the image processing domain is picture enhancement. These approaches are employed to enhance the perceptibility of images, or to transform the image into a format more suitable for human or machine analysis, and to highlight intricate elements that might otherwise remain indistinct. The primary topic of this thesis is the utilization of the pseudocolor approach, which is an image enhancement technique, to convert grayscale intensity images into color-coded images. An investigation into the various forms of pseudocolor techniques that have been

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Erina, Erina. "Design and Implementation of Fuzzy Logic-Based Key Exchange Protocol in Medical Image Cryptographic Protection Scheme." Neutrosophic and Information Fusion 4, no. 1 (2024): 22–31. http://dx.doi.org/10.54216/nif.040104.

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Images may be protected from hackers and attackers with the use of steganography. The rapid expansion of the internet has led to the widespread distribution of vast quantities of multimedia content, including photos, movies, and audio files, via various online platforms. To ensure the safety of sensitive information while it is in transit and upon receipt, a high degree of security is required. During the patient scanning procedure, hospitals and scan centers save many pictures of patients on personal computers. Protection from strangers who may see the patients' scanned photos would be necess

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Latifoğlu, Fatma, Aigul Zhusupova, Merve İnce, et al. "Preliminary Study Based on Myocardial Infarction Classification of 12-Lead Electrocardiography Images with Deep Learning Methods." European Journal of Research and Development 4, no. 1 (2024): 42–54. http://dx.doi.org/10.56038/ejrnd.v4i1.421.

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In contemporary medicine, the development of computer-aided diagnostic systems using Electrocardiography (ECG) signals has gained significance for the diagnosis of heart diseases. Myocardial infarction (MI) is recognized as the condition where blood flow to the heart muscle is obstructed due to blockages in coronary vessels. In this study, four deep learning approaches were employed to automatically identify different MI conditions (STEMI, NSTEMI, USAP) using images generated from 12-lead ECG signals. The utilized architectures include deep neural networks such as Visual Geometry Group-16 (VGG

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Syaputri, Sintha, and Zulkarnain Zulkarnain. "SEGMENTASI CITRA PARU-PARU MENGGUNAKAN METODE KONTUR AKTIF DENGAN VALIDASI ROC." Komunikasi Fisika Indonesia 16, no. 2 (2019): 91. http://dx.doi.org/10.31258/jkfi.16.2.91-95.

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Segmentation is the process of separating parts of objects from the background by dividing images that have different object intensities with each other such as in imaging of body parts. Active contour segmentation was used for medical imaging that resistant to noise around objects. This study used 5 chest X-Ray images, specifically to the lungs with a grayscale format measuring 256 x 256 pixels, through the preprocessing process and filtering a Gaussian filter, each image was inputted to the R2015a version of the matlab GUI program. Then the segmentation had done by using the active contour m

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Novita, Eylen Desy, Aziz Kustiyo, Anuraga Jayanegara, Toto Haryanto, and Hari Agung Adrianto. "Prediksi kandungan lignin pada dedak padi bercampur sekam menggunakan tekstur statistik dan KNN." Jurnal Ilmu Komputer dan Agri-Informatika 9, no. 1 (2022): 58–69. http://dx.doi.org/10.29244/jika.9.1.58-69.

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Pemalsuan dedak padi terjadi cukup tinggi karena harga dedak padi yang mahal. Kualitas dedak padi yang bercampur sekam dapat menurun karena kandungan serat kasar dan lignin bersifat anti-nutrisi. Kandungan lignin dapat diestimasi dengan tekstur citra dedak padi yang bercampur sekam. Penelitian ini bertujuan untuk melakukan analisis tekstur pada citra dedak padi yang bercampur sekam menggunakan metode ekstraksi ciri run length dengan klasifikasi k-nearest neighbour (KNN). Citra dedak padi yang bercampur sekam diakuisisi dengan mikroskop digital Dino Capture dengan perbesaran sebesar 200 kali. C

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Chervyakov, Nikolay, Pavel Lyakhov, and Nikolay Nagornov. "Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging." Applied Sciences 10, no. 4 (2020): 1223. http://dx.doi.org/10.3390/app10041223.

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Denoising and compression of 2D and 3D images are important problems in modern medical imaging systems. Discrete wavelet transform (DWT) is used to solve them in practice. We analyze the quantization noise effect in coefficients of DWT filters for 3D medical imaging in this paper. The method for wavelet filters coefficients quantizing is proposed, which allows minimizing resources in hardware implementation by simplifying rounding operations. We develop the method for estimating the maximum error of 3D grayscale and color images DWT with various bits per color (BPC). The dependence of the peak

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Schäfer, Stefan B., Claudia Rudolph, Martin Kolodziej, Frank Mauermann, Fritz Christian Roller, and Gabriele Anja Krombach. "Optimization of Whole-Body CT Examinations of Polytrauma Patients in Comparison with the Current Diagnostic Reference Levels." RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 191, no. 11 (2019): 1015–25. http://dx.doi.org/10.1055/a-0881-3113.

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Purpose Evaluation of the dose values of a polytrauma whole-body CT examination used in clinical practice with regard to the 2016 updated diagnostic reference levels and reduction of the mean exposure levels using simple optimization steps. Materials and Methods In each case, 100 exposure values before and after dose optimization were compared with the old and new diagnostic reference levels. The grayscale values and the signal-to-noise ratio (SNR) were determined for the lung, the aortic arch and the liver. A visual assessment of the image quality was performed by two radiologists on the basi

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Akhmametieva, A. V., and A. A. Baraniuk. "DEVELOPMENT OF A SYSTEM FOR DIGITAL WATERMARKS EMBEDDING INTO IMAGES BASED ON DCT-LWT-SVD." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 68 (2020): 23–31. http://dx.doi.org/10.17721/2519-481x/2020/68-03.

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Copyright protection of digital content is a rather actual problem of humanity in the 21st century. Misuses of multimedia content is very common, and their number is growing with each passing day. One type of copyright protection is the embedding of digital watermark (DW) in the content. In this paper a new method of embedding digital watermark into image using discrete cosine transform, lifting wavelet transform (LWT) with maternal wavelet "Dobeshi-8" and singular coefficients decomposition is proposed. Embedding is performed into the first singular number of the low frequency wavelet transfo

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Sarief, Ivany, Harfin Yusuf Biu, Fajar Harismana, and Sepryan Ismail Chandra. "Detection of Vehicles Number Plate Using Image Processing with Template matching Method." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 7, no. 1 (2019): 14–24. http://dx.doi.org/10.34010/telekontran.v7i1.1634.

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To design a system in order to identify an object number plate for the Indonesian format, an initial system is designed, in the form of a vehicle licence plate recognition application using template matching method. The goal of this application is to be implemented to the parking system by identifying the number plate. This system uses the camera for the image capture process, by utilizing image processing technology with the matching correlation template method for recognition to produce a string value from the image. Before doing recognition process, First, the pre processing stage is perfor

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Miftakhul Fahmi, Gilang, Khairunnisak Nur Isnaini, and Didit Suhartono. "IMPLEMENTATION OF STEGANOGRAPHY ON DIGITAL IMAGE WITH MODIFIED VIGENERE CIPHER ALGORITHM AND LEAST SIGNIFICANT BIT (LSB) METHOD." Jurnal Teknik Informatika (Jutif) 4, no. 2 (2023): 333–44. http://dx.doi.org/10.52436/1.jutif.2023.4.2.340.

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Digital image can be utilized as a media to hide messages. There should be a special treatment in securing the messages so that the information accessibility can be controlled. Hiding messages to an image can be conducted using steganography. It can be combined with cryptography algorithms in order to make it harder to be accessed by unauthorized parties. The modification of cryptography algorithms can improve the confidentiality of the message content. This research is aimed to know the implementation of steganography in desktop applications using Least Significant Bit (LSB) that is combined

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Kokikian, Nelly, Rachel Wahhab, Jingxi Li, et al. "Abstract 4906: Biopsy free virtual histology to discriminate benign from malignant squamous neoplasms." Cancer Research 84, no. 6_Supplement (2024): 4906. http://dx.doi.org/10.1158/1538-7445.am2024-4906.

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Abstract Reflectance confocal microscopy (RCM) is a noninvasive optical imaging modality that allows for cellular-level resolution, in vivo images of skin without performing a traditional skin biopsy. RCM image interpretation currently requires specialized training to interpret the grayscale output images that are difficult to correlate with tissue pathology. Here, we use a deep learning-based framework that uses a convolutional neural network to transform grayscale output images into virtually-stained hematoxylin and eosin (H&E)-like images allowing for the visualization of various skin l

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Lu, Wanjie, Jieyu Liu, and Fanhao Lin. "The Fault Diagnosis of Rolling Bearings Is Conducted by Employing a Dual-Branch Convolutional Capsule Neural Network." Sensors 24, no. 11 (2024): 3384. http://dx.doi.org/10.3390/s24113384.

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Currently, many fault diagnosis methods for rolling bearings based on deep learning are facing two main challenges. Firstly, the deep learning model exhibits poor diagnostic performance and limited generalization ability in the presence of noise signals and varying loads. Secondly, there is incomplete utilization of fault information and inadequate extraction of fault features, leading to the low diagnostic accuracy of the model. To address these problems, this paper proposes an improved dual-branch convolutional capsule neural network for rolling bearing fault diagnosis. This method converts

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An, Guangzhou, Kazuko Omodaka, Kazuki Hashimoto, et al. "Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images." Journal of Healthcare Engineering 2019 (February 18, 2019): 1–9. http://dx.doi.org/10.1155/2019/4061313.

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This study aimed to develop a machine learning-based algorithm for glaucoma diagnosis in patients with open-angle glaucoma, based on three-dimensional optical coherence tomography (OCT) data and color fundus images. In this study, 208 glaucomatous and 149 healthy eyes were enrolled, and color fundus images and volumetric OCT data from the optic disc and macular area of these eyes were captured with a spectral-domain OCT (3D OCT-2000, Topcon). Thickness and deviation maps were created with a segmentation algorithm. Transfer learning of convolutional neural network (CNN) was used with the follow

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