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Journal articles on the topic 'Luma/Chroma'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Li, Wei, and Caixia Fan. "Intra-Mode Decision Based on Lagrange Optimization Regarding Chroma Coding." Applied Sciences 14, no. 15 (2024): 6480. http://dx.doi.org/10.3390/app14156480.

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The latest generation of standard versatile video coding (VVC) continues to utilize hybrid coding architecture to further promote compression performance, where the intra-mode decision module selects the optimal mode to balance bitrate and coding distortion. With regard to chroma intra modes, a scheme that uses a cross-component linear model (CCLM) is involved by utilizing the component correlation between luma and chroma, which could implicitly introduce distortion propagation from luma blocks to subsequent chroma prediction blocks during coding, impacting the result of a Lagrange optimizatio

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2

Lim, Sung-Chang, Dae-Yeon Kim, and Jungwon Kang. "Simplification on Cross-Component Linear Model in Versatile Video Coding." Electronics 9, no. 11 (2020): 1885. http://dx.doi.org/10.3390/electronics9111885.

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To improve coding efficiency by exploiting the local inter-component redundancy between the luma and chroma components, the cross-component linear model (CCLM) is included in the versatile video coding (VVC) standard. In the CCLM mode, linear model parameters are derived from the neighboring luma and chroma samples of the current block. Furthermore, chroma samples are predicted by the reconstructed samples in the collocated luma block with the derived parameters. However, as the CCLM design in the VVC test model (VTM)-6.0 has many conditional branches in its processes to use only available nei

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3

Fu, Qingtao, Cheolkon Jung, Ge Yang, and Yi Liu. "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding." IEEE Access 7 (2019): 55237–47. http://dx.doi.org/10.1109/access.2019.2911673.

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4

Leung, B., Gwanggil Jeon, and E. Dubois. "Least-Squares Luma–Chroma Demultiplexing Algorithm for Bayer Demosaicking." IEEE Transactions on Image Processing 20, no. 7 (2011): 1885–94. http://dx.doi.org/10.1109/tip.2011.2107524.

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5

Chung, Kuo-Liang, Chi-Chao Huang, and Tsu-Chun Hsu. "Adaptive Chroma Subsampling-Binding and Luma-Guided Chroma Reconstruction Method for Screen Content Images." IEEE Transactions on Image Processing 26, no. 12 (2017): 6034–45. http://dx.doi.org/10.1109/tip.2017.2749148.

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6

Sugimoto, Kazuo, Akira Minezawa, and Shunichi Sekiguchi. "A Study on Improving Luma-based Chroma Intra Prediction Method." Journal of The Institute of Image Information and Television Engineers 66, no. 8 (2012): J290—J291. http://dx.doi.org/10.3169/itej.66.j290.

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7

Kim, Tae-Young, and Yong-Goo Kim. "A Fast and Reliable Luma Control Scheme for High-Quality HDR/WCG Video." Applied Sciences 8, no. 10 (2018): 1975. http://dx.doi.org/10.3390/app8101975.

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The evolution of display technologies makes high dynamic range/wide color gamut (HDR/WCG) media of great interest in various applications including cinema, TV, blue-ray titles, and others. However, the HDR/WCG media format for consumer electronics requires the sampling rate conversion of chroma signals, resulting in a quality problem on the luminance perception of media, even without compression. In order to reduce such luminance perception problems, this paper proposes a fast and reliable luma control scheme which takes advantage of the bounds on the best luma value derived from the solution

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8

Zhu, Shuyuan, Chang Cui, Ruiqin Xiong, Yuanfang Guo, and Bing Zeng. "Efficient Chroma Sub-Sampling and Luma Modification for Color Image Compression." IEEE Transactions on Circuits and Systems for Video Technology 29, no. 5 (2019): 1559–63. http://dx.doi.org/10.1109/tcsvt.2019.2895840.

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9

Pham, Chi Do-Kim, and Jinjia Zhou. "Deep Learning-Based Luma and Chroma Fractional Interpolation in Video Coding." IEEE Access 7 (2019): 112535–43. http://dx.doi.org/10.1109/access.2019.2935378.

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10

Fang, Lu, Oscar C. Au, Ngai-Man Cheung, Aggelos K. Katsaggelos, Houqiang Li, and Feng Zou. "Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling." IEEE Transactions on Image Processing 22, no. 10 (2013): 3818–29. http://dx.doi.org/10.1109/tip.2013.2262288.

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11

Kotera, Hiroaki. "Image Color Mapping and Clustering in Luma/Chroma Fundamental Color Space." Conference on Colour in Graphics, Imaging, and Vision 4, no. 1 (2008): 585–90. http://dx.doi.org/10.2352/cgiv.2008.4.1.art00126.

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12

Perlman, S. S., and R. Schweer. "An adaptive luma-chroma separator circuit for PAL and NTSC TV signals." IEEE Transactions on Consumer Electronics 36, no. 3 (1990): 301–8. http://dx.doi.org/10.1109/30.103136.

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13

Lee, Seon-Young, and Kyeong-Soon Cho. "Design of Luma and Chroma Sub-pixel Interpolator for H.264 Motion Estimation." KIPS Transactions:PartA 18A, no. 6 (2011): 249–54. http://dx.doi.org/10.3745/kipsta.2011.18a.6.249.

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14

Kim, Jin‐Woo, Se‐Weon Jeon, and Tack‐Don Han. "Luma–chroma separated processing for fast flow‐based image abstraction on mobile devices." Electronics Letters 50, no. 24 (2014): 1838–39. http://dx.doi.org/10.1049/el.2014.2858.

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15

Chung, Kuo-Liang, Tzu-Yi Liu, and Jen-Shun Cheng. "Novel and Optimal Luma Modification-Based Chroma Downsampling for Bayer Color Filter Array Images." IEEE Open Journal of Circuits and Systems 1 (2020): 48–59. http://dx.doi.org/10.1109/ojcas.2020.2996624.

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16

Kim, Hyungwook, Sojeong Lim, and Sungwook Yu. "Fast intra-mode decision method for luma and chroma blocks for H.264/AVC." Multimedia Tools and Applications 74, no. 13 (2013): 4641–53. http://dx.doi.org/10.1007/s11042-013-1827-8.

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17

Chung, Kuo-Liang, Chih-Yuan Huang, and Chen-Wei Kao. "An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling." IEEE Access 9 (2021): 149744–55. http://dx.doi.org/10.1109/access.2021.3125713.

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18

SHEN, Weiwei, Yibo FAN, and Xiaoyang ZENG. "A 64Cycles/MB, Luma-Chroma Parallelized H.264/AVC Deblocking Filter for 4K × 2K Applications." IEICE Transactions on Electronics E95-C, no. 4 (2012): 441–46. http://dx.doi.org/10.1587/transele.e95.c.441.

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19

Chung, Kuo-Liang, Tsu-Chun Hsu, and Chi-Chao Huang. "Joint Chroma Subsampling and Distortion-Minimization-Based Luma Modification for RGB Color Images With Application." IEEE Transactions on Image Processing 26, no. 10 (2017): 4626–38. http://dx.doi.org/10.1109/tip.2017.2719945.

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20

Chen, Juan, and Fei Peng. "A Perceptual Encryption Scheme for HEVC Video with Lossless Compression." International Journal of Digital Crime and Forensics 10, no. 1 (2018): 67–78. http://dx.doi.org/10.4018/ijdcf.2018010106.

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Aiming to protect the video content and facilitate online video consumption, a perceptual encryption scheme is proposed for high efficiency video coding (HEVC) video. Based on RC4 algorithm, a key stream generation method is constructed, whose proportion of “1” and “0” can be regulated. During HEVC encoding, four kinds of syntax elements including motion vector difference (MVD)' sign, MVD's amplitude, sign of the luma residual coefficient and sign of the chroma residual coefficient, are encrypted by the regulated key stream. Experimental results and analysis show that the proposed scheme has g

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21

Chen, Xi, Zong Ze Wu, Sheng Li Xie, and Jin Hai Liu. "Design and Implementation of H.264/SVC Decoder Forecast Module on ASIC." Applied Mechanics and Materials 128-129 (October 2011): 1371–77. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1371.

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An ASIC front-end design of intra and inter prediction module based on H.264/SVC standard is proposed in this paper. State machine is used in intra prediction module for timing control. A branch reusable unit ADDR3221 is constructed and optimized to implement the intra prediction in RTL-level. In inter prediction module, the three-level MUX is used to realize the level control from the frame-level to block-level. According to the different segmentation of luma and chroma, the computation of the motion vector and interpolation is realized. Simulation and optimization are performed on the EDA to

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22

Thiesse, J. M., J. Jung, and M. Antonini. "Rate Distortion Data Hiding of Motion Vector Competition Information in Chroma and Luma Samples for Video Compression." IEEE Transactions on Circuits and Systems for Video Technology 21, no. 6 (2011): 729–41. http://dx.doi.org/10.1109/tcsvt.2011.2130330.

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23

Chung, Kuo-Liang, Jen-Shun Cheng, and Hong-Bin Yang. "Effective Chroma Subsampling and Luma Modification for RGB Full-Color Images Using the Multiple Linear Regression Technique." IEEE Access 8 (2020): 118315–23. http://dx.doi.org/10.1109/access.2020.2999910.

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24

Gwanggil Jeon and Eric Dubois. "Demosaicking of Noisy Bayer-Sampled Color Images With Least-Squares Luma-Chroma Demultiplexing and Noise Level Estimation." IEEE Transactions on Image Processing 22, no. 1 (2013): 146–56. http://dx.doi.org/10.1109/tip.2012.2214041.

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25

A.B., Dhivya, and Sundaresan M. "Enhancing the Tablet Images using Noise Reduction Algorithms by Analyzing Different Color Models." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 2 (2019): 148–55. https://doi.org/10.35940/ijeat.B3119.129219.

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Unidentified tablets are challenges to both patients and healthcare professionals. Using these unknown tablets results in undesirable reaction of drug and also it is foundation to ill health that leads to death even sometimes. Thus, recognition of unidentified tablets is a significant task in medical industry. Identification of tablets is one of the major concerns for public and pharmacists, which can be carried out by means of either text-based or image-based methods. The tablet identification system is focused on removing noise from the tablet images using algorithms like Independent Compone

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26

Yang, Qing, Ming Yu, Yan Xu, and Shixin Cen. "Single Image Rain Removal Based on Deep Learning and Symmetry Transform." Symmetry 12, no. 2 (2020): 224. http://dx.doi.org/10.3390/sym12020224.

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Rainy, as an inevitable weather condition, will affect the acquired image. To solve this problem, a single image rain removal algorithm based on deep learning and symmetric transformation is proposed. Because of the important characteristics of wavelet transform, such as symmetry, orthogonality, flexibility and limited support, wavelet transform is used to remove rain from a single image. The image is denoised by using wavelet decomposition, threshold value and wavelet reconstruction in wavelet transform, and the rain drop image is transformed from RGB space to YUV (luma chroma) space by using

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27

Bouaafia, Soulef, Seifeddine Messaoud, Randa Khemiri, and Fatma Elzahra Sayadi. "VVC In-Loop Filtering Based on Deep Convolutional Neural Network." Computational Intelligence and Neuroscience 2021 (July 7, 2021): 1–9. http://dx.doi.org/10.1155/2021/9912839.

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With the rapid advancement in many multimedia applications, such as video gaming, computer vision applications, and video streaming and surveillance, video quality remains an open challenge. Despite the existence of the standardized video quality as well as high definition (HD) and ultrahigh definition (UHD), enhancing the quality for the video compression standard will improve the video streaming resolution and satisfy end user’s quality of service (QoS). Versatile video coding (VVC) is the latest video coding standard that achieves significant coding efficiency. VVC will help spread high-qua

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28

Choi, Kiho. "Block Partitioning Information-Based CNN Post-Filtering for EVC Baseline Profile." Sensors 24, no. 4 (2024): 1336. http://dx.doi.org/10.3390/s24041336.

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The need for efficient video coding technology is more important than ever in the current scenario where video applications are increasing worldwide, and Internet of Things (IoT) devices are becoming widespread. In this context, it is necessary to carefully review the recently completed MPEG-5 Essential Video Coding (EVC) standard because the EVC Baseline profile is customized to meet the specific requirements needed to process IoT video data in terms of low complexity. Nevertheless, the EVC Baseline profile has a notable disadvantage. Since it is a codec composed only of simple tools develope

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29

Farfoura, Mahmoud E., Osama A. Khashan, Hani Omar, et al. "A Fragile Watermarking Method for Content-Authentication of H.264-AVC Video." Journal of Internet Services and Information Security 13, no. 2 (2023): 211–32. http://dx.doi.org/10.58346/jisis.2023.i2.014.

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This work proposes a blind fragile GOP-based watermarking technique that ensures the H.264-AVC video's content authenticity. In the H.264 video, the self-authentication code is created by securely hashing a number of intra prediction modes of I-frames in addition to motion vectors of P-frames and B-frames. The resulting authentication code is subsequently injected into the IPCM-Least block's Significant Bits (LSB) of some I-frames' luma and chroma pixel samples. To manage and regulate authentication data and watermark processes (embedding, detection, and verification), a key based on video foo

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30

Ahilan, A., B. Pradeep Khanth, R. Ezhilarasi, and N. Muthukumaran. "Efficient luma modification-based chroma down-sampling and novel luma down-sampling with adaptive interpolation." Signal, Image and Video Processing, November 13, 2023. http://dx.doi.org/10.1007/s11760-023-02814-6.

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31

Huo, Junyan, Danni Wang, Hui Yuan, Shuai Wan, and Fuzheng Yang. "Adaptive Chroma Prediction Based on Luma Difference for H.266/VVC." IEEE Transactions on Image Processing, 2023, 1. http://dx.doi.org/10.1109/tip.2023.3330607.

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32

Huo, Junyan, Zhenyao Zhang, Jiarun Song, Yanzhuo Ma, and Fuzheng Yang. "Refined Chroma From Luma Prediction in AV1 Based on Color Component Grouping." IEEE Transactions on Industrial Informatics, 2024, 1–9. http://dx.doi.org/10.1109/tii.2024.3379652.

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33

Xing, Heyu, Lihua Tian, and Chen Li. "A high capacity video steganography based on intra luma and chroma modes." Multimedia Tools and Applications, October 17, 2023. http://dx.doi.org/10.1007/s11042-023-17378-3.

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34

Siekmann, Mischa, Ali Khairat, Tung Nguyen, Detlev Marpe, and Thomas Wiegand. "Extended cross-component prediction in HEVC." APSIPA Transactions on Signal and Information Processing 6 (2017). http://dx.doi.org/10.1017/atsip.2017.3.

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With Version 2 of the high-efficiency video coding standard, a new compression efficiency tool targeting redundancies among color components is specified for all 4:4:4 profiles, and referred to as cross-component prediction (CCP). This paper describes and analyses two additional extensions to the specified CCP variant. In the first extension, an additional predictor is introduced. Particularly, beside the luma component, also the first chroma component can serve as a reference for prediction of the second chroma component. The second extension proposes a method for predicting the CCP model par

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35

Wang, Lilong, Yunhui Shi, Jin Wang, Shujun Chen, Baocai Yin, and Nam Ling. "Graph Based Cross-Channel Transform for Color Image Compression." ACM Transactions on Multimedia Computing, Communications, and Applications, November 7, 2023. http://dx.doi.org/10.1145/3631710.

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Adaptive transform coding is gaining more and more attention for better mining of image content over fixed transforms such as discrete cosine transform (DCT). As a special case, graph transform learning establishes a novel paradigm for the graph-based transforms. However, there still exists a challenge for graph transform learning-based image codecs design on natural image compression, and graph representation cannot describe regular image samples well over graph-structured data. Therefore, in this paper, we propose a cross-channel graph-based transform (CCGBT) for natural color image compress

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36

A., Elyousfi, Tamtaoui A., and Bouyakhf E. "A New Fast Intra Prediction Mode Decision Algorithm for H.264/AVC Encoders." March 21, 2007. https://doi.org/10.5281/zenodo.1076918.

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The H.264/AVC video coding standard contains a number of advanced features. Ones of the new features introduced in this standard is the multiple intramode prediction. Its function exploits directional spatial correlation with adjacent block for intra prediction. With this new features, intra coding of H.264/AVC offers a considerably higher improvement in coding efficiency compared to other compression standard, but computational complexity is increased significantly when brut force rate distortion optimization (RDO) algorithm is used. In this paper, we propose a new fast intra prediction mode

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37

A., Elyousfi, Tamtaoui A., and Bouyakhf E. "Fast Intra Prediction Algorithm for H.264/AVC Based on Quadratic and Gradient Model." March 27, 2010. https://doi.org/10.5281/zenodo.1056555.

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The H.264/AVC standard uses an intra prediction, 9 directional modes for 4x4 luma blocks and 8x8 luma blocks, 4 directional modes for 16x16 macroblock and 8x8 chroma blocks, respectively. It means that, for a macroblock, it has to perform 736 different RDO calculation before a best RDO modes is determined. With this Multiple intra-mode prediction, intra coding of H.264/AVC offers a considerably higher improvement in coding efficiency compared to other compression standards, but computational complexity is increased significantly. This paper presents a fast intra prediction algorithm for H.264/

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38

Jun, Sung Park, and Jung Song Hyo. "Selective Intra Prediction Mode Decision for H.264/AVC Encoders." January 23, 2008. https://doi.org/10.5281/zenodo.1055761.

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H.264/AVC offers a considerably higher improvement in coding efficiency compared to other compression standards such as MPEG-2, but computational complexity is increased significantly. In this paper, we propose selective mode decision schemes for fast intra prediction mode selection. The objective is to reduce the computational complexity of the H.264/AVC encoder without significant rate-distortion performance degradation. In our proposed schemes, the intra prediction complexity is reduced by limiting the luma and chroma prediction modes using the directional information of the 16×16 predictio

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39

Poornima and Kumar. "Efficient H.264 Decoder Architecture Using External Memory and Pipelining." December 1, 2018. https://doi.org/10.11591/ijeecs.v12.i3.pp995-1002.

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A H.264 standard is one of the most popular coding standard with significant improvement in video broadcasting and streaming application. However it’s significant in compression but needs huge calculation and complex algorithm for providing better image quality and compression rate. In H.264 coding technique, designing of decoder is a key factor for efficient coding. In this paper we are designing a decoder using a complex input. We ensured several improvement like looping arrangement, buffer upgradation, buffer supplement, memory reusability and pipelining architecture. We have modified

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40

Yin, Qian, Xinfeng Zhang, Ruoke Yan, Yuhuai Zhang, Shanshe Wang, and Siwei Ma. "Joint Structure-Texture Scan-Order for Point Cloud Attribute Compression Using Affine Transformation." ACM Transactions on Multimedia Computing, Communications, and Applications, April 11, 2025. https://doi.org/10.1145/3729232.

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Existing geometry-based point cloud compression (PCC) frameworks are typically designed to code the geometric coordinates first, followed by compressing the attributes (e.g., colors, reflectances) according to the order derived from geometric structures, such as the morton codes. Although geometry-based reordering methods can eliminate the redundancy of attributes, the errors caused by dramatic variations of attributes in the non-smooth areas potentially limit the efficiency of the point cloud attribute coding. To tackle this challenge, a novel joint structure-texture scan-order and coding sch

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