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Journal articles on the topic 'Image quality improvement'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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1

Nugroho, Arief Kelik, Ipung Permadi, and Muhammad Faturrahim. "Improvement Of Image Quality Using Convolutional Neural Networks Method." Scientific Journal of Informatics 9, no. 1 (2022): 95–103. http://dx.doi.org/10.15294/sji.v9i1.30892.

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Abstract. Purpose: This desire for high resolution stems from two main application areas, namely improving pictorial information for human interpretation and assisting automatic machine perception in representing images or videos. Image resolution describes the detail contained in an image, the higher the resolution, the more detail there is. The resolution of a digital image can be classified into various types, namely pixel resolution, spatial resolution, temporal resolution, and radiometric resolution. In this context, we are interested in spatial resolution.Methods: Elements of a digital i

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Vimala, C., and P. Aruna Priya. "Image quality improvement using dddtdwt." International Journal of Engineering & Technology 7, no. 3.3 (2018): 416. http://dx.doi.org/10.14419/ijet.v7i2.33.14197.

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The enhancement of degraded images using different wavelet transform techniques are presented in this paper. The performance of the wavelet techniques is analysed in terms of Peak Signal to Noise Ratio values and Root Means Square error. The Double Density Dual Tree Discrete Wavelet Transform technique is mainly focused for analysis and the results are compared with discrete wavelet transform and the Double Density DWT.

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Tuzenko, O. A., and S. I. Volodin. "The software for improvement of image quality after enlargement." Reporter of the Priazovskyi State Technical University. Section: Technical sciences, no. 47 (December 28, 2023): 24–32. http://dx.doi.org/10.31498/2225-6733.47.2023.299972.

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In the paper digital images of various formats were investigated. The different vector image formats have different color rendering capabilities. The main task was to achieve a result of refinement of the random low resolution color raster image without quality and resolution loss. The biggest advantage of using specific vector or compressed raster formats is the ability of scaling without quality loss and comparatively small file size. This eases vector images transfer through networks. In the article a specific algorithm of raster images refinement was investigated, particularly the method o

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Cao, Jinshan, Nan Zhou, Haixing Shang, Zhiwei Ye, and Zhiqi Zhang. "Internal Geometric Quality Improvement of Optical Remote Sensing Satellite Images with Image Reorientation." Remote Sensing 14, no. 3 (2022): 471. http://dx.doi.org/10.3390/rs14030471.

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When the in-orbit geometric calibration of optical satellite cameras is not performed in a precise or timely manner, optical remote sensing satellite images (ORSSIs) are produced with inaccurate camera parameters. The internal orientation (IO) biases of ORSSIs caused by inaccurate camera parameters show a discontinuous distorted characteristic and cannot be compensated by a simple orientation model. The internal geometric quality of ORSSIs will, therefore, be worse than expected. In this study, from the ORSSI users’ perspective, a feasible internal geometric quality improvement method is prese

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Rosnelly, Rika, and Linda Wahyuni. "Comparison of Image Improvement Method on Parasite Images of Malaria." Journal of Applied Intelligent System 2, no. 2 (2018): 101–10. http://dx.doi.org/10.33633/jais.v2i2.1645.

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Improved image is a process on the image that initially has a quality that is less good or has noise. In this image improvement operation image quality will be improved so that the image produces better quality. Image improvement methods used are contrast stretching, histogram equalization, low pass filter and Gaussian filtering. In this study compare contrast stretching method, histogram equalization, low pass filter and Gaussian filtering to improve image quality. Performance of each method would be calculated by finding the value of Mean Square Error (MSE) and Peak Signal to Noise Ratio (PS

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Dahliyusmanto, Mohd Nizam Omar, Devi Willieam Anggara, Eddy Hamdani, Budhi Anto, and Zuli Laili Isnaini. "Marker Quality Improvement in Augmented Reality Using Grey-scale Method." International Journal of Electrical, Energy and Power System Engineering 2, no. 1 (2019): 15–21. http://dx.doi.org/10.31258/ijeepse.2.1.15-21.

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Augmented Reality (AR) is a technology which combines the real world and virtual world, where users can feel the interaction between the two worlds. Marker Augmented reality or known as marker-based tracking technique uses a marker as media to display this technology. The marker is used as an object that contains images with unique patterns to identify each different object. Because it has a unique pattern, not any objects can be used as a marker. In Vuforia SDK, image recognition is done using a grayscale technique to search for angular features of the pixel image. If the image was taken dire

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Ahmed, Mariwan Wahid, and Alan Anwer Abdulla. "Quality Improvement for Exemplar-based Image Inpainting using a Modified Searching Mechanism." UHD Journal of Science and Technology 4, no. 1 (2020): 1. http://dx.doi.org/10.21928/uhdjst.v4n1y2020.pp1-8.

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Digital image processing has a significant impact in different research areas including medical image processing, biometrics, image inpainting, object detection, information hiding, and image compression. Image inpainting is a science of reconstructing damaged parts of digital images and filling-in regions in which information are missing which has many potential applications such as repairing scratched images, removing unwanted objects, filling missing area, and repairing old images. In this paper, an image inpainting algorithm is developed based on exemplar, which is one of the most importan

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Rizani, Fitri. "IMAGE QUALITY IMPROVEMENT USING IMAGE PROCESSING METHOD IMAGE BRIGHTNESS CONTRAST AND IMAGE SHARPENING." MULTICA SCIENCE AND TECHNOLOGY (MST) 1, no. 1 (2021): 6–12. http://dx.doi.org/10.47002/mst.v1i1.200.

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The ability of computers that are increasingly reliable in various fields, especially in helping the image processing sector through improving image quality, is very much felt so that the empowerment of computers at any time needs to be improved. Image quality improvement can be made with various techniques, including Image Quality Improvement with Image Brightness and Image Sharpening methods. The process begins with capturing the image and then continues with increasing the intensity of brightness, image contrast and sharpening. Image processing results are indicated by changes in the result

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Takezawa, Megumi, and Miki Haseyama. "Quality Improvement of JPEG Images Based on Fractal Image Coding." Journal of the Institute of Image Information and Television Engineers 58, no. 9 (2004): 1317–23. http://dx.doi.org/10.3169/itej.58.1317.

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Saini, Aman, and Pratibha. "A Review on Various Techniques of Image Fusion for Quality Improvement of Images." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 1 (2018): 107. http://dx.doi.org/10.23956/ijarcsse.v8i1.533.

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Image fusion is a significant topic in perspective processing. Image fusion is a process of mixing the appropriate data from some images into a single image where the resulting merged picture will be more useful and complete than any of the input images. Multi focus Image fusion is procedure of combining information of several imagery of a view and consequently has \everywhere in focus "image. Lifting technique allows faster implementation of wavelet transform. It requires half number of computations as compared to traditional convolution approach.

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Ruikar, Dr Sachin D., and Ms Vrushali N. Raut. "A Comparison of Filtering Techniques for Image Quality Improvement in Computed Tomography." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 7, no. 3 (2013): 670–76. http://dx.doi.org/10.24297/ijct.v7i3.3445.

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Computed Tomography (CT) is an important and most common modality in medical imaging. In CT examinations there is trade off between radiation dose and image quality. If radiation dose is decreased, the noise will unavoidably increase degrading the diagnostic value of the CT image and ifthe radiation dose is increased, the associated risk of cancer also increases especially in paediatric applications. Image filtering techniques perform image pre-processing to improve the quality of images. These techniques serve two major purposes. One is to maintain low radiation dose and another is to make su

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Pula, Michal, Emilia Kucharczyk, Agata Zdanowicz, and Maciej Guzinski. "Image Quality Improvement in Deep Learning Image Reconstruction of Head Computed Tomography Examination." Tomography 9, no. 4 (2023): 1485–93. http://dx.doi.org/10.3390/tomography9040118.

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In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Learning Image Reconstruction) and compare it with iterative reconstruction ASIR-V (Adaptive Statistical Iterative Reconstruction) in CT (computed tomography) scans of the head. The CT scans of 109 patients were subjected to both objective and subjective evaluation of image quality. The objective evaluation was based on the SNR (signal-to-noise ratio) and CNR (contrast-to-noise ratio) of the brain’s gray and white matter. The regions of interest for our study were set in the BGA (basal ganglia area

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Boudabbous, Anis Ridha, and Marwa Jomaa Graja. "An improvement of efficient nonlinear color image interpolator: Theory and FPGA implementation." International Journal of ADVANCED AND APPLIED SCIENCES 10, no. 2 (2023): 107–12. http://dx.doi.org/10.21833/ijaas.2023.02.014.

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In this paper, a new proposal for a nonlinear edge-preserving interpolator and hardware implementation is presented. As a new idea for a color image interpolator, our proposal is focusing on the interpolated pixel and we tried to adjust it in order to have better quality. To evaluate the effectiveness of the proposed idea for preserving images, we implemented it using different color images and we evaluated using different evaluation measurements. Then, we compared our new proposal with the traditional nonlinear Edge preserving interpolator. The obtained results confirm that our proposed Edge

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KANZAKI, Noriko. "Improvement of head magnetic resonance image quality." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 101, no. 3-4 (1989): 295–302. http://dx.doi.org/10.4044/joma1947.101.3-4_295.

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R. Várkonyi-Kóczy, Annamária, and János T. Tóth. "Fuzzy information measure for image quality improvement." JJAP Conference Proceedings 4 (2016): 011607. http://dx.doi.org/10.56646/jjapcp.4.0_011607.

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Demehri, Shadpour, Pascal Salazar, Michael L. Steigner, et al. "Image Quality Improvement Using an Image-Based Noise Reduction Algorithm." Journal of Computer Assisted Tomography 36, no. 5 (2012): 610–15. http://dx.doi.org/10.1097/rct.0b013e318262c7e2.

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Noskov, M. F. "Seam welds quality control improvement using method of pseudo-color coding images." Journal of Physics: Conference Series 2094, no. 2 (2021): 022058. http://dx.doi.org/10.1088/1742-6596/2094/2/022058.

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Abstract The method of seam welds quality control using X-ray is considered. The X-ray methods of control are based on the capability of gamma radiation to penetrate through a metal including welded areas. Regions having defects - pores, faulty welds, cracks, scale inclusions - look darker on images. Appearance, linear dimensions and depths of the defects usually are determined by a visual examination comparing the X-ray image with standard defects images. It is known that a human eye can distinguish not more than 12-15 shades on a black and white image but more than a hundred on a colored ima

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Xu, S., and M. Ehlers. "CRITICAL REFLECTION ON QUANTITATIVE ASSESSMENT OF IMAGE FUSION QUALITY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 551–57. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-551-2022.

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Abstract. Image fusion technique has been extended its development from multi-sensor fusion, multi-model fusion to multi-focus fusion. More and more advanced techniques such as deep learning have been integrated into the development of image fusion algorithms. However, as an important aspect, fusion quality assessment has been received less attention. This paper intends to reflect on the commonly used indices for quantitative assessment and investigate how they can represent the fusion quality regarding spectral preservation and spatial improvement. We found that image dissimilarities are unav

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Ahmed, Mahmood Ali, and Khamees Khalaf Hasan. "Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods." Journal of Cases on Information Technology 23, no. 2 (2021): 39–49. http://dx.doi.org/10.4018/jcit.20210401.oa4.

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Wireless sensor networks (WSNs) are widely used for the different multimedia applications in which the data in multimedia form (e.g., images and videos) are captured by visual sensors and transmitted to base stations or destination nodes, and such networks, commonly called wireless multimedia sensor networks (WMSN), transmit high-quality images over sensor nodes with image quality improvement and CS technique while the security of CS data is achieved. The one-way DF-based cooperative digital image transmission model over WSNs using advanced terminologies for image compression called advanced J

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Vorobel, R. A., O. R. Berehulyak, I. B. Ivasenko, and T. S. Mandziy. "Local image contrast enhancement based on power model of visual image perception." Information extraction and processing 2024, no. 52 (2024): 95–106. http://dx.doi.org/10.15407/vidbir2024.52.095.

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The analysis of models of light perception by humans, which serve as the basis for building methods for improving the quality of images by enhancing their local contrasts, was carried out. It is shown that the expression for determining local contrast is the basis for building an algorithm for image quality improvement. Three types of local contrast are highlighted, in particular absolute, relative and weighted, and the technology of building a method of image quality enhancement using them is illustrated. A new method of image quality improvement, which is based on the power dependence of the

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Sari, Dewi Mutiara, Bayu Sandi Marta, Muhammad Amin A, and Haryo Dwito Armono. "The Analysis of Underwater Imagery System for Armor Unit Monitoring Application." International Journal of Artificial Intelligence & Robotics (IJAIR) 5, no. 1 (2023): 1–12. http://dx.doi.org/10.25139/ijair.v5i1.5918.

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The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods.

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Telatar, Ziya. "Image quality improvement using edge and distribution information of degraded image." Journal of Electronic Imaging 13, no. 3 (2004): 579. http://dx.doi.org/10.1117/1.1758271.

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Sendjasni, Abderrezzaq, Mohamed-Chaker Larabi, and Faouzi Alaya Cheikh. "On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Images." Electronic Imaging 2020, no. 9 (2020): 287–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.9.iqsp-287.

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Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach for predicting image quality. Even though a large literature exists for 2D image and video quality evaluation, 360-degree images quality is still under-explored. One can question the efficiency of 2D quality metrics on such a new type of content. To this end, we propose to study the possible improvement of well-known 2D quality metrics using important features related to 3

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Hüsem, Hürkal, Zeynep Gürkaş Aydın, and Önder Demir. "Analysis of the Impact of RGB-to-Achromatic Color Space Transformations on Single-Image Superresolution Performance." Black Sea Journal of Engineering and Science 8, no. 2 (2025): 50–51. https://doi.org/10.34248/bsengineering.1597236.

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Super-resolution techniques are employed to enhance the quality of digital images. Color spaces are developed to model colors in various digital environments. In the literature, several studies suggest that applying color space transformations and subsequently employing super-resolution techniques on the transformed im-ages improve image quality. This study analyzes the impact of color space trans-formations on super-resolution applications. The analysis is conducted by performing the super-resolution process entirely in the RGB color space, followed by converting the obtained result into a di

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Yusuf, Muh, Hasni Kasim, Haslinda Haslinda, Rachmat Rachmat, and Muh Fahmi Basmar. "Linear Operation to Quality Improvement Coal Image Using Contrast Stretching and Sobel." Journal of Social Research 2, no. 5 (2023): 1498–503. http://dx.doi.org/10.55324/josr.v2i5.832.

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This linear operation is one way to improve image quality using contrast stretching and sobel methods. The processed image has a higher contrast value so that it can produce new information. This study aims to apply the contrast stretching method to improve the quality of coal images in JPEG format. Based on the test results, the average value of coal variance has increased. This result proves that contrast stretching causes the spread of RGB values to be even. The even distribution of RGB values causes the coal image to have better contrast than the original image before the repair. Where the

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Kusnadi, Adhi, Leondy ., Lianna Nathania, Ivransa Zuhdi Pane, Marlinda Vasty Overbeek, and Syarief Gerald Prasetya. "Image Processing for Improvement of Facial Keypoints Detector." Webology 19, no. 1 (2022): 676–91. http://dx.doi.org/10.14704/web/v19i1/web19048.

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This paper discusses the improvement of facial detection algorithms using the DCT algorithm and image processing. Face key point is very needed in the face recognition system. Some important factors that have effects to detect its result are noise and illuminations. These two factors can be overcome by eliminating some DCT coefficients, both high and low. However, after handling the problem, most likely the image quality will become decrease, which will adversely influence the performance of the feature detector algorithm. Therefore, it is very important to test the performance of the feature

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Dewi, Ratna, and Putri Kartika Sari. "The Improvement of Flip (2,2) Visual Cryptography Images Using Two Key Images." ComTech: Computer, Mathematics and Engineering Applications 7, no. 3 (2016): 213. http://dx.doi.org/10.21512/comtech.v7i3.2501.

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The Flip (2, 2) Visual Cryptography (FVC) is one of the techniques used to encrypt the two secret images into two dual purpose transparencies. The two transparencies can be sent to the objective person. The first secret images can be obtained by stacking the two transparencies and the second secret images can be obtained by stacking the one transparency with the flipping other transparency. Unfortunately, the result decryption processes still have noise and the quality of decrypted secret image is not as same as original secret image. This article proposed the new algorithm to improve the qual

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Dey, P., A. Neumann, and S. R. J. Brueck. "Image quality improvement for optical imaging interferometric microscopy." Optics Express 29, no. 23 (2021): 38415. http://dx.doi.org/10.1364/oe.444142.

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Li, Jiyi, Qiang Ma, Yasuhito Asano, and Masatoshi Yoshikawa. "Tag Quality Improvement for Social Image Hosting Website." IPSJ Online Transactions 6 (2013): 75–84. http://dx.doi.org/10.2197/ipsjtrans.6.75.

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Pang, Xiao-Ning, Ding-Chen Chen, Yi-Cong Ding, Yi-Gui Chen, Shao-Ji Jiang, and Jian-Wen Dong. "Image quality improvement of polygon computer generated holography." Optics Express 23, no. 15 (2015): 19066. http://dx.doi.org/10.1364/oe.23.019066.

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Mizoshiri, Isao, and Hiroki Sumida. "Improvement of Image Quality on Medical Ultrasonic Echocardiogram." IEEJ Transactions on Electronics, Information and Systems 113, no. 11 (1993): 972–77. http://dx.doi.org/10.1541/ieejeiss1987.113.11_972.

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HATORI, MINEO, MASAHIKO KIKUCHI, and HAJIME YASUDA. "76. Improvement of Image Quality in Retroperitoneal MRI." Japanese Journal of Radiological Technology 48, no. 2 (1992): 202. http://dx.doi.org/10.6009/jjrt.kj00003533262.

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Watanabe, Takashi, Yuji Akimoto, and Yasushi Hoshino. "Image Quality Improvement by Rescaling of Color Saturation." NIP & Digital Fabrication Conference 20, no. 1 (2004): 416–19. http://dx.doi.org/10.2352/issn.2169-4451.2004.20.1.art00092_1.

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Fang Li, Fang Li, Yong Bi Yong Bi, Hao Wang Hao Wang, Minyuan Sun Minyuan Sun, and Xinxin Kong and Xinxin Kong. "Weighted 3D GS algorithm for image-quality improvement of multi-plane holographic display." Chinese Journal of Lasers 39, no. 10 (2012): 1009001. http://dx.doi.org/10.3788/cjl201239.1009001.

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Choudhary, Parul, Pooja Pathak, and Phalguni Gupta. "Assessment of face image quality for improvement of recognition system with machine learning." AiBi Revista de Investigación, Administración e Ingeniería 12, no. 1 (2024): 152–62. https://doi.org/10.15649/2346030x.3461.

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Face recognition systems are crucial in security and surveillance. However, their effectiveness depends on the quality of input face images. This paper introduces a novel Face Image Quality Assessment (FIQA) framework to enhance recognition accuracy. It evaluates image quality using various factors and combines them to classify the face quality index. The technique is evaluated on the Color-Feret dataset, outperforming existing methods with a strong correlation (0.95) between system and human scores.

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Kim, Kyuseok, Nuri Chon, Hyun-Woo Jeong, and Youngjin Lee. "Improvement of Ultrasound Image Quality Using Non-Local Means Noise-Reduction Approach for Precise Quality Control and Accurate Diagnosis of Thyroid Nodules." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 13743. http://dx.doi.org/10.3390/ijerph192113743.

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This study aimed to improve the quality of ultrasound images by modeling an algorithm using a non-local means (NLM) noise-reduction approach to achieve precise quality control and accurate diagnosis of thyroid nodules. An ATS-539 multipurpose phantom was used to scan the dynamic range and gray-scale measurement regions, which are most closely related to the noise level. A convex-type 3.5-MHz frequency probe is used for scanning according to ATS regulations. In addition, ultrasound images of human thyroid nodules were obtained using a linear probe. An algorithm based on the NLM noise-reduction

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Liu, Dongquan, Shaojun Zhu, Bangquan Liu, Dechao Sun, and Fangqin Fei. "Improvement of CT Target Scanning Quality for Pulmonary Nodules by PDCA Management Method." Mathematical Problems in Engineering 2021 (March 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/6632960.

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High CT image quality is an important guarantee for doctors to correctly diagnose pulmonary nodules. The aim of this study was to explore the application value of PDCA management method in improving the quality of CT target scanning for pulmonary nodules. We identified 480 patients’ CT image with at least one pulmonary nodule admitted in Ninghai First hospital from September 1st, 2018, to April 30th, 2019. 240 CT images are carried out by the conventional target scanning method, and we analyzed the reasons for the low quality of some CT target scanning images of pulmonary nodules in the radiol

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Utomo, Danang Wahyu, Christy Atika Sari, and Folasade Olubusola Isinkaye. "Quality Improvement for Invisible Watermarking using Singular Value Decomposition and Discrete Cosine Transform." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 23, no. 3 (2024): 509–18. http://dx.doi.org/10.30812/matrik.v23i3.3744.

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Image watermarking is a sophisticated method often used to assert ownership and ensure the integrity of digital images. This research aimed to propose and evaluate an advanced watermarking technique that utilizes a combination of singular value decomposition methodology and discrete cosine transformation to embed the Dian Nuswantoro University symbol as proof of ownership into digital images. Specific goals included optimizing the embedding process to ensure high fidelity of the embedded watermark and evaluating the fuzziness of the watermark to maintain the visual quality of the watermarked i

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Kozlov, Alexander V., Pavel A. Cheremkhin, Andrey S. Svistunov, Vladislav G. Rodin, Rostislav S. Starikov, and Nikolay N. Evtikhiev. "Interpolation-Filtering Method for Image Improvement in Digital Holography." Applied Sciences 14, no. 19 (2024): 8790. http://dx.doi.org/10.3390/app14198790.

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Digital holography is actively used for the characterization of objects and 3D-scenes, tracking changes in medium parameters, 3D shape reconstruction, detection of micro-object positions, etc. To obtain high-quality images of objects, it is often necessary to register a set of holograms or to select a noise suppression method for specific experimental conditions. In this paper, we propose a method to improve filtering in digital holography. The method requires a single hologram only. It utilizes interpolation upscaling of the reconstructed image size, filtering (e.g., median, BM3D, or NLM), an

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Gunawan, Rudy, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, and Rifai Chai. "Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising." Computers 14, no. 1 (2025): 18. https://doi.org/10.3390/computers14010018.

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Evaluating the results of image denoising algorithms in Computed Tomography (CT) scans typically involves several key metrics to assess noise reduction while preserving essential details. Full Reference (FR) quality evaluators are popular for evaluating image quality in denoising CT scans. There is limited information about using Blind/No Reference (NR) quality evaluators in the medical image area. This paper shows the previously utilized Natural Image Quality Evaluator (NIQE) in CT scans; this NIQE is commonly used as a photolike image evaluator and provides an extensive assessment of the opt

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Wu, Jing, and Xiuqin Su. "Method of Image Quality Improvement for Atmospheric Turbulence Degradation Sequence Based on Graph Laplacian Filter and Nonrigid Registration." Mathematical Problems in Engineering 2018 (July 19, 2018): 1–15. http://dx.doi.org/10.1155/2018/4970907.

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It is challenging to restore a clear image from an atmospheric degraded sequence. The main reason for the image degradation is geometric distortion and blurring caused by turbulence. In this paper, we present a method to eliminate geometric distortion and blur and to recover a single high-quality image from the degraded sequence images. First, we use optical flow technology to register the sequence images, thereby suppressing the geometric deformation of each frame. Next, sequence images are summed by a temporal filter to obtain a single blurred image. Then, the graph Laplacian matrix is used

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Yokota, Hiroshi, Masashi Shindoh, Kazuhiro Mizuki, Takeo Onuma, and Yoshinao Kogamo. "464 A image quality evaluation of DSA images using improvement DSA fantom." Japanese Journal of Radiological Technology 51, no. 10 (1995): 1533. http://dx.doi.org/10.6009/jjrt.kj00001353234.

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R., Deepa, and Ashlin Lifty S. "Advancement of Image Quality Improvement in Portable Ultrasound Gadgets." Engineering and Technology Journal 07, no. 03 (2022): Engineering and Technology Journal. https://doi.org/10.5281/zenodo.6384400.

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Ultrasound technologies have grown popular in the medical field because they are more accurate, however the image quality of hand-held ultrasound devices is comparably low.Thesuggestedmethoduses ConvolutionalNeural Networks to improve the image standard in handheld devices to high visuals. The suggested Convolutional  Neural   Networks to  improve    the,image  standard  in  handheld  devices ,leading   to high visuals. Through histogram equalization, the median filter is used to reduce undesire

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Jin Kim, Jin Ki, and Seung Hwan Kim. "A Study on the Improvement of Urban Image by Social Crime." Korea Real Estate Society 73 (September 30, 2024): 185–99. http://dx.doi.org/10.37407/kres.2024.43.3.185.

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This study aims to analyze the, negative effects of social crime on the image of, the city and suggest strategies for improving the image of the city accordingly. First, social crime has, a serious negative effect on the image of the city, which leads to economic loss, social anxiety, and deterioration of, the quality of life of the residents. In order to improve the image of the city, a comprehensive strategy is needed not only to suppress crime, but also to, solve the fundamental causes of social problems and promote positive characteristics of, the city. In addition to strengthening securit

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Jin Kim, Jin Ki, and Seung Hwan Kim. "A Study on the Improvement of Urban Image by Social Crime." Korea Real Estate Society 73 (September 30, 2024): 185–99. http://dx.doi.org/10.37407/kres.2024.42.3.185.

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This study aims to analyze the, negative effects of social crime on the image of, the city and suggest strategies for improving the image of the city accordingly. First, social crime has, a serious negative effect on the image of the city, which leads to economic loss, social anxiety, and deterioration of, the quality of life of the residents. In order to improve the image of the city, a comprehensive strategy is needed not only to suppress crime, but also to, solve the fundamental causes of social problems and promote positive characteristics of, the city. In addition to strengthening securit

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Shaheen, Naazaan, and Yogendra Singh. "Improvement of Low-Light Images without Loss of Naturalness based on the Retinex Theory." Journal of Electronic Design Engineering 8, no. 3 (2022): 1–11. http://dx.doi.org/10.46610/joede.2022.v08i03.001.

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In modern era, images enhancement is paying very significant role in image analysis and synthesis. We have used the Retinex theory to remove the dark from the first image help improve the clarity of dim or hazy photos. After that, the picture haze must be eliminated, first inverted the image and applied the optimized de-haze on it. By image fusion of both the obtained images through Principal Component Analysis (PCA), a better-quality image was obtained from what we can see in the simulations, things have definitely gotten better.

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Sihotang, Amran Sihotang, and Petti Indrayati. "3D Image Side Sharpening Using Fourier Phase Only Synthetis Method." Jurnal Info Sains : Informatika dan Sains 10, no. 2 (2020): 24–29. http://dx.doi.org/10.54209/infosains.v10i2.34.

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In the process of the Fourier Phase Only Synthetis method on two images, the observer must get the impression that the imagery actually changes shape to an intermediate form before it changes to the destination image. These changes must occur in a regular and consistent manner to achieve the image of the goal. This sharpening system is one of the systems that aims for this form change process is widely used in applications in the field of entertainment, computer animation, scientific visualization and education. The sharpening system on the 3-dimensional side of the image aims to identify the

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Umilizah, Nia, Pipin Octavia, Lucky Indra Kesuma, Ira Rayani, and Muhammad Suedarmin. "Combination of Image Improvement on Segmentation Using a Convolutional Neural Network in Efforts to Detect Liver Disease." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 7, no. 2 (2024): 375–84. http://dx.doi.org/10.31289/jite.v7i2.10221.

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Liver disease is a disease caused by various factors such as the spread of viruses. Liver damage causes the ability to break down red blood cells to be disrupted. Detection of liver disease can be done using the segmentation. Segmentation is useful for separating an area of the liver in an image from other areas. Segmentation carried out manually requires experts and a long time, so automatic segmentation is needed. CNN can be used to perform automatic segmentation. One of the CNN architectures is the U-Net architecture. Segmentation requires quality images to improve recognition of image patt

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Foster, Bob. "The Influence of Service Quality on Aircraft’s Brand Image in Bandung, Indonesia." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, no. 5 (2018): 19–24. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.35.3003.

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This study aims to measure the effect of service quality on domestic aircraft companies in accordance with the improvement of the corporate’s image. The population in this study is domestic passengers. In collecting data from 250 respondents, this study uses the Non-Random Sampling technique. The analysis method of this study is regression analysis. The result shows that there is the influence of service quality on the brand image of domestic aircraft. The implications of this study indicate that the improvement of service quality provides a positive image for local aircraft companies.

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Kovalenko, Bogdan, Volodymyr Rebrov, and Volodymyr Lukin. "Analysis of the potential efficiency of post-filtering noisy images after lossy compression." Ukrainian journal of remote sensing 10, no. 1 (2023): 11–16. http://dx.doi.org/10.36023/ujrs.2023.10.1.231.

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An increase in the number of images and their average size is the general trend nowadays. This increase leads to certain problems with data storage and transfer via communication lines. A common way to solve this problem is to apply lossy compression that provides sufficiently larger compression ratios compared to lossless compression approaches. However, lossy compression has several peculiarities, especially if a compressed image is corrupted by quite intensive noise. First, a specific noise-filtering effect is observed. Second, an optimal operational point (OOP) might exist where the qualit

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