Relevant bibliographies by topics / YCbCr image format

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Academic literature on the topic 'YCbCr image format'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "YCbCr image format"

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Zhang, Hao Ran, Wen Ping Ren, Wen Long Yin, and Shao Feng Chen. "FPGA-Based Bayer to YCbCr Color Space Design." Applied Mechanics and Materials 696 (November 2014): 105–9. http://dx.doi.org/10.4028/www.scientific.net/amm.696.105.

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Because of the powerful data processing ability of FPGA, the fast interpolation algorithm is used for Bayer format data which comes from CMOS sensor MT9M011 to convert to RGB image format. In the RGB color space to YCbCr space conversion stage,using color space conversion formula, combined with the characteristics of FPGA, realize the conversion of RGB to YCbCr. Finally, correctness is verified by the experimental results which use SignalTap II embedded logic analyzer.
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Johan, Nurul Fatiha, Yasir Mohd Mustafah, and Nahrul Khair Alang Md Rashid. "Human Body Parts Detection Using YCbCr Color Space." Applied Mechanics and Materials 393 (September 2013): 556–60. http://dx.doi.org/10.4028/www.scientific.net/amm.393.556.

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Skin color is proved to be very useful technique for human body parts detection. The detection of human body parts using skin color has gained so much attention by many researchers in various applications especially in person tracking, search and rescue. In this paper, we propose a method for detecting human body parts using YCbCr color spaces in color images. The image captured in RGB format will be transformed into YCbCr color space. This color model will be converted to binary image by using color thresholding which contains the candidate human body parts like face and hands. The detection algorithm uses skin color segmentation and morphological operation.
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Marcial Basilio, Jorge A., Gualberto Aguilar Torres, Gabriel Sánchez Pérez, Karina Toscano Medina, and Héctor M. Pérez Meana. "Novel method for pornographic image detection using HSV and YCbCr color models." Revista Facultad de Ingeniería Universidad de Antioquia, no. 64 (October 3, 2012): 79–90. http://dx.doi.org/10.17533/udea.redin.13117.

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In this paper a novel method to explicit content or pornographic images detection is proposed, using the transformation from RGB to HSV or YCbCr color model, which is the most usual format to images that exists on Internet, moreover the using of a threshold to skin detection applying the color models HSV and YCbCr is proposed. Using the proposed threshold the image is segmented, once the image segmented, the skin quantity localized in that image is calculated. The obtained results using the proposed system are compared with two programs which carry out with the same goal, the Forensic Toolkit 3.1 Explicit Image Detection (FTK 3.1 EID) and the Parabenís Porn Detection Stick that are two the most commercials solutions to pornographic images detection. The reported results in this paper were obtained using three sets of images, each one of them consist of 800 images choosing randomly which 400 are natural images and the rest are explicit content images, this sets were used to probe the proposed system and the two tools commercials. The proposed system achieved a 78,75% of recognizing, 28% of false positives and 14,50% of false negatives, the software FTK 3.1 Explicit Image Detection obtained 72,12% of recognizing, 38,50% of false positives and 17,25% of false negatives. Parabenís Porn Detection Stick achieved 74,25% of recognizing with 16% of false positives and 35,50% of false negatives. Finally can be prove that the proposed system be able to detect the images under study better than two of the software solutions more using for forensic researchers, for this reason the proposed method can be applied to computer forensics or in detection of pornographic images stored on mass storage devices.
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Hu, Xin Ying, and Xiu Ping Zhao. "A Robust Digital Watermarking Algorithm Based on Digital Image Security." Advanced Materials Research 174 (December 2010): 144–47. http://dx.doi.org/10.4028/www.scientific.net/amr.174.144.

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Digital watermarking has been proposed as a way to claim the ownership of the source and owner of the digital image data. In this paper, A robust algorithm based on DCT region is proposed to improve the image security. The main transforming is based on DCT (Discrete Cosine Transform). The algorithm was processed in the MATLAB software. In this paper, images of gray scale and RGB color scale were researched respectively. For color images, in order to get the best image quality, the RGB scale was transformed to YcbCr scale. Then, the Y channel (brightness channel) was separated, in which the watermark was embedded and extracted. The results show that the algorithm embedded a certain size of black and white Bitmap image into gray and color images. The watermark can’t be seen by the naked eye. The robustness detection experiment was also carried out. The watermark can still be extracted after certain amount of tailoring, defacing, Gaussian noise, and format changes. The similarity is more than 0.7. It confirmed that the algorithm is highly robust.
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Abhilash, R. Namboodiri, D. Badiger Sujata, and Narayanasamy Rajagopal. "YUV422 to YUV420 Color Space Conversion on FPGA." Research and Applications: Embedded System 3, no. 2 (2020): 1–7. https://doi.org/10.5281/zenodo.3898118.

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<em>YUV is a popular color encoding system similar to the popular RGB variant but is less data intensive. YUV stores only the difference among the chrominance values and absence of data bytes can be represented as a grayer image resulting in reduced data consumption. YUV422 (YCbCr) forms the standard video format used in various broadcasting technologies and standards. However, at high resolutions and higher frame rates it needs to be converted to YUV420 format which is similar but not as data intensive. This conversion is realized in Verilog and implemented on an FPGA which converts the video data for real-time applications. </em>
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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 is done automatically by the proposed method. Here the method of colors transfer to grayscale image has been performed by using two different color spaces together in the coloring process, these color space are YCbCr and HSV color spaces along with different pixel window size start from (2 x 2), (3 x 3) up to (10 x 10). The proposed methods implemented in two file format types (JPEG and PNG) and on different types of imagesuch us (animals, Flower, plants).
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Luo, Xian Zhe, Nan Run Zhou, Qing Min Zhao, and Jian Hua Wu. "Color Image Encryption Based on the Multiple-Order Discrete Fractional Cosine Transform and Chaos in YCbCr Space." Applied Mechanics and Materials 182-183 (June 2012): 1839–43. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1839.

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Based on the theory that a color image can be decomposed into three primary components and each one can be seen as a gray image, we propose a color image encryption method with multiple-order discrete fractional cosine transform (MODFrCT), which is a kind of encryption with the secrecy of pixel value and pixel position simultaneously. The complex number mode that has a real part and an imaginary one is used in this encryption method to save the transmission channel. Human vision is more sensitive to the Y component than to other two components in YCbCr color space and this color format is used for encrypting the color image. Chaos is introduced to scramble the image phases both in spatial and transformation domains. The numerical simulations demonstrate the validity and efficiency of this scheme and the robustness of the method against occlusion attack is examined.
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Kusuma, Edi Jaya, Ika Pantiawati, and Sri Handayani. "Melanoma Classification based on Simulated Annealing Optimization in Neural Network." Knowledge Engineering and Data Science 4, no. 2 (2022): 97. http://dx.doi.org/10.17977/um018v4i22021p97-104.

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Technology development in image processing and artificial intelligence field leads to the high demand for smart systems, especially in the health sector. Cancer is one of the diseases that has the highest mortality cases around the world. Melanoma is one of the cancer types that appear caused by high exposure to UV light. The earliest the melanoma was identified, the higher the chance the patient can be recovered. Therefore, this study carries the melanoma detection based on BPNN optimized by a simulated annealing algorithm. This research utilizes PH2 dermoscopic image data which contains 200 color digital images in BMP format. The data is processed using color feature extraction techniques to identify the characteristics of each image according to the target data. The color space extraction used includes mean RGB, HSV, CIE LAB, YCbCr, and XYZ. The evaluation result showed that the BPNN-SA method was able to increase the accuracy performance in classifying skin cancer when compared to the original BPNN method with an overall average accuracy of 84.03%.
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Zhang, Qi Gui, Bo Zhang, and Gang Zhang. "Design of a Video Processor Based on FPGA." Advanced Materials Research 429 (January 2012): 190–94. http://dx.doi.org/10.4028/www.scientific.net/amr.429.190.

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The design of a kind of video processor with the function of auto-focusing is introduced in this paper. The video processor receives digital 8-bit YCbCr video signal. With a piece of DDR2 SDRAM as frame buffer, the video processor realizes the function of format conversion, frame up-scaling and color space conversion. The paper proposes an improved gray scale differential auto-focus algorithm and calculates the focus value of the current image real-timely. Applying the mountain climbing searching strategy to control the moving of the focus motor, and realize the function of auto-focusing. The whole design is realized in VHDL and verified with Xilinx XUPV5-LX110T FPGA developing board.
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10

Селиверстов, С. А., А. А. Халтурин, Е. Р. Шафхатов, and Ш. С. Фахми. "Performance of marine video systems for transmitting images of increased detail." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 4(58) (December 2, 2022): 193–200. http://dx.doi.org/10.37220/mit.2022.58.4.042.

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На современном этапе развития интеллектуальных морских технологий необходимо включить в состав системы обработки изображений способ учёта степени детальности и количества объектов на изображениях. В данной статье вычислена производительность алгоритмов на основе различных размеров блоков дискретного косинусного преобразования в зависимости от степени детальности объектов изображения. Для достижения поставленной задачи сжатия цветных изображений, необходимо их преобразовать в черно-белого полутонового формат. Формат Y - компонент яркости и Cb и Cr - цветоразностные компоненты изображения позволяет достичь лучшие значения коэффициента сжатия. Предложен адаптивный алгоритм сжатия морских изображений, на основе предварительной группировки блоков изображения в зависимости от степени детальности и контрастности путём определения областей границ объектов. Полученные блоки с границами подвергаются сжатию с низким коэффициентом сжатия, а блоки без границ сжимаются с высоким коэффициентом сжатия. Результаты моделирования алгоритмов показали, что информационные показатели системы обработки морских изображений и производительность предложенного метода выше по сравнению с известным методом сжатия JPEG. At the present stage of the development of intelligent marine technologies, it is necessary to include in the image processing system a method for taking into account the degree of detail and the number of objects in the images. In this article, the performance of algorithms based on different sizes of discrete cosine transformation blocks is calculated depending on the degree of detail of the image objects. To achieve this task, the RGB color image format is converted to a black-and-white halftone YCbCr format for further compression. The Y - component brightness format and Cb and Cr - color-difference components of the image allows you to achieve the best values of the compression ratio. An adaptive algorithm for compressing marine images is proposed, based on the preliminary grouping of image blocks depending on the degree of detail and contrast by determining the areas of the boundaries of objects. The resulting blocks with boundaries are compressed with a low compression ratio, and blocks without boundaries are compressed with a high compression ratio. The results of the analysis showed that the information indicators of the marine image processing system and the performance of the proposed method are higher compared to the known JPEG compression method.
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Book chapters on the topic "YCbCr image format"

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V S, Rakesh, and Bhavana Potli. "Foundations of Image Processing Understanding Pixels Color Models and Image Formats." In Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence. RADemics Research Institute, 2024. https://doi.org/10.71443/9788197933660-01.

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The chapter explores the pivotal role of color transformations in digital image processing, emphasizing the conversion between various color models such as RGB, CMYK, HSV, and YCbCr. Understanding these transformations was essential for ensuring accurate color representation across diverse applications, including photography, graphic design, and video processing. The chapter outlines the mathematical principles underlying color model conversion, highlighting the challenges associated with color fidelity and gamut mapping. Furthermore, it discusses the implications of these transformations for image quality enhancement, visual aesthetics, and cross-platform compatibility. With a focus on both theoretical frameworks and practical applications, this chapter serves as a comprehensive resource for practitioners and researchers aiming to optimize color representation in digital imaging workflows. Key advancements and future directions in color model research are also addressed, underscoring the importance of continuous innovation in this dynamic field.
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Conference papers on the topic "YCbCr image format"

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Premal, C. Emmy, and S. S. Vinsley. "Image processing based forest fire detection using YCbCr colour model." In 2014 International Conference on Circuit, Power and Computing Technologies (ICCPCT). IEEE, 2014. http://dx.doi.org/10.1109/iccpct.2014.7054883.

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