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Добірка наукової літератури з теми "YCbCr etc"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "YCbCr etc"

1

Zena, Ahmed Alwan, Mohammed Farhan Hamid, and Qays Mahdi Siraj. "Color image steganography in YCbCr space." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 202–9. https://doi.org/10.11591/ijece.v10i1.pp202-209.

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Анотація:

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominanc

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2

Alwan, Zena Ahmed, Hamid Mohammed Farhan, and Siraj Qays Mahdi. "Color image steganography in YCbCr space." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 202. http://dx.doi.org/10.11591/ijece.v10i1.pp202-209.

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Анотація:

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as  HSV-(hue, saturation, and value), RGB-(red, green, and blue),  YCbCr-(luminance

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3

Naval, Solanki* Mrs. Jyoti Pipariya. "ANALYSIS OF WAVELETS USED IN COMPRESSED SENSING FOR IMAGE COMPRESSION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 11 (2017): 467–72. https://doi.org/10.5281/zenodo.1066212.

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Анотація:

Wavelet analysis has engrossed more researchers in the field because of its analyzing ability for fastly solving and altering transient signals. Wavelet investigates its capability to analyze locally i.e. localized area can be analyzed for any larger signal. Wavelet analysis is can reveal data aspects which other techniques for image analysis may fail to notice aspects such as tendency, discontinuities of higher derivatives, breakdown points, and self-similarity.   Wavelet Theory has significance in image analysis, signal processing, transient signal analysis, communication systems. Also

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4

Namrata, Dave. "A LIP LOCALIZATION BASED VISUAL FEATURE EXTRACTION METHOD." Electrical & Computer Engineering: An International Journal (ECIJ) 4, no. 4 (2015): 23–28. https://doi.org/10.5281/zenodo.3621225.

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This paper presents a lip localization based visual feature extraction method to segment lip region from image or video in real time. Lip localization and tracking is useful in many applications such as lip reading, lip synchronization, visual speech recognition, facial animation etc. To synchronize lip movements with input audio we need to first segment lip region from input image or video frame. This paper presents a novel color based approach for localization of lips, which is an early stage for tracking lips in real time. A phoneme is a basic unit of speech and a viseme is a visual represe

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5

SHIH, PEICHUNG, and CHENGJUN LIU. "COMPARATIVE ASSESSMENT OF CONTENT-BASED FACE IMAGE RETRIEVAL IN DIFFERENT COLOR SPACES." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 07 (2005): 873–93. http://dx.doi.org/10.1142/s0218001405004381.

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Content-based face image retrieval is concerned with computer retrieval of face images (of a given subject) based on the geometric or statistical features automatically derived from these images. It is well known that color spaces provide powerful information for image indexing and retrieval by means of color invariants, color histogram, color texture, etc. This paper assesses comparatively the performance of content-based face image retrieval in different color spaces using a standard algorithm, the Principal Component Analysis (PCA), which has become a popular algorithm in the face recogniti

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6

Mirjalili, Fereshteh, and Jon Yngve Hardeberg. "On the Quantification of Visual Texture Complexity." Journal of Imaging 8, no. 9 (2022): 248. http://dx.doi.org/10.3390/jimaging8090248.

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Complexity is one of the major attributes of the visual perception of texture. However, very little is known about how humans visually interpret texture complexity. A psychophysical experiment was conducted to visually quantify the seven texture attributes of a series of textile fabrics: complexity, color variation, randomness, strongness, regularity, repetitiveness, and homogeneity. It was found that the observers could discriminate between the textures with low and high complexity using some high-level visual cues such as randomness, color variation, strongness, etc. The results of principal

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7

Aydin, Yildiz. "A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors." Diagnostics 13, no. 19 (2023): 3142. http://dx.doi.org/10.3390/diagnostics13193142.

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Анотація:

Among the most serious types of cancer is skin cancer. Despite the risk of death, when caught early, the rate of survival is greater than 95%. This inspires researchers to explore methods that allow for the early detection of skin cancer that could save millions of lives. The ability to detect the early signs of skin cancer has become more urgent in light of the rising number of illnesses, the high death rate, and costly healthcare treatments. Given the gravity of these issues, experts have created a number of existing approaches for detecting skin cancer. Identifying skin cancer and whether i

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8

Sirichotedumrong, Warit, and Hitoshi Kiya. "Grayscale-based block scrambling image encryption using YCbCr color space for encryption-then-compression systems." APSIPA Transactions on Signal and Information Processing 8 (2019). http://dx.doi.org/10.1017/atsip.2018.33.

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AbstractA novel grayscale-based block scrambling image encryption scheme is presented not only to enhance security, but also to improve the compression performance for Encryption-then-Compression (EtC) systems with JPEG compression, which are used to securely transmit images through an untrusted channel provider. The proposed scheme enables the use of a smaller block size and a larger number of blocks than the color-based image encryption scheme. Images encrypted using the proposed scheme include less color information due to the use of grayscale images even when the original image has three c

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9

Nayak, Sasmita Kumari, and Jharna Majumdar. "Hybrid Method of Video Shot Segmentation Based on YCbCr Space Color Model." Journal of Engineering Research and Reports, July 30, 2021, 8–17. http://dx.doi.org/10.9734/jerr/2021/v20i1117399.

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Анотація:

In this digital world, Video analysis is the most important and useful task. Currently, tremendous tasks have been done in video analysis like compressing the videos, video retrieval process and video database indexing, etc. For all these tasks, one common step is segmenting the video shots, which are referred to as Video Shots Segmentation (VSS). Video shots segmentation is used to segment the input videos into a number of frames sequentially where the scene changes occurred, i.e. called shots. In this article, segmenting the video shots follows a hybrid procedure. Here, we have introduced th

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10

Upendra Raju, K., and N. Amutha Prabha. "Dual images in reversible data hiding with adaptive color space variation using wavelet transforms." International Journal of Intelligent Unmanned Systems, November 26, 2021. http://dx.doi.org/10.1108/ijius-08-2021-0095.

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Purpose Steganography is a data hiding technique used in the data security. while transmission of data through channel, no guarantee that the data is transmitted safely or not. Variety of data security techniques exists such as patch work, low bit rate data hiding, lossy compression etc. This paper aims to increase the security and robustness. Design/methodology/approach This paper describes, an approach for multiple images steganography that is oriented on the combination of lifting wavelet transform (LWT) and discrete cosine transform (DCT). Here, we have one cover image and two secret image

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Більше джерел

Дисертації з теми "YCbCr etc"

1

Whitehead, Daniel Christopher. "Efficient Digital Color Image Demosaicing Directly to YCbCr 4:2:0." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1386095731.

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Тези доповідей конференцій з теми "YCbCr etc"

1

Zhang, Zhuang, Lijun Zhang, Dejian Meng, Wei Tian, and Wei Xiao. "A Unified Frequency Understanding of Image Corruptions and its Application to Autonomous Driving." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0060.

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Анотація:

<div class="section abstract"><div class="htmlview paragraph">Image corruptions due to noise, blur, contrast change, etc., could lead to a significant performance decline of Deep Neural Networks (DNN), which poses a potential threat to DNN-based autonomous vehicles. Previous works attempted to explain corruption from a Fourier perspective. By comparing the absolute Fourier spectrum difference between corrupted images and clean images in the RGB color space, they regard the noise from some corruptions (Gaussian noise, defocus blur, etc.) as concentrating on the high-frequency compon

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2

Teng, Zhiqiang, Haodong Chen, Qitao Hou, Wanbing Song, Chenchen Gu, and Ping Zhao. "Design of a Cognitive Rehabilitation System Based on Gesture Recognition." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23579.

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Abstract Computer-assisted cognitive training is an effective intervention for patients with mild cognitive impairment (MCI), which can avoid the disadvantages of traditional cognitive training that consumes a lot of medical resources and is difficult to be standardized. However, many computer-assisted cognitive training systems have unfriendly human-computer interaction, for not considering that most MCI patients have certain difficulties in using computers. In this paper, we design a cognitive training system which allows patients to implement human-computer interaction through gestures. Fir

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