Abstract:
Chroma from Luma (CfL) prediction is an efficient coding tool in AV1 which builds chroma prediction by implementing a linear model on luma pixels. To avoid transmission, ...Show MoreMetadata
Abstract:
Chroma from Luma (CfL) prediction is an efficient coding tool in AV1 which builds chroma prediction by implementing a linear model on luma pixels. To avoid transmission, the off-set factor in the linear model is set to the average of neighboring chroma pixels. An improved CfL algorithm is proposed to derive the offset factor based on a virtual chroma block. Such a block is constructed by using the chroma of the matched pixel which is determined according to the luma difference of neighboring regions and the co-located luma. Compared with libaom, the proposed CfL algorithm provides 0.31% and 0.15% weighted PSNR BD-rate saving under AI and RA configuration, respectively. Experimental results show that over 1.00% and 0.80% BD-rate saving can be achieved for chroma components under AI and RA configuration. With the proposed algorithm, the percentage of pixels with CfL as the optimal coding mode is increased.
Date of Conference: 05-09 July 2021
Date Added to IEEE Xplore: 09 June 2021
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Contents Cites in Papers - |
Cites in Papers - IEEE (4)
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1.
Junyan Huo, Zhenyao Zhang, Jiarun Song, Yanzhuo Ma, Fuzheng Yang, "Refined Chroma From Luma Prediction in AV1 Based on Color Component Grouping", IEEE Transactions on Industrial Informatics, vol.20, no.6, pp.8940-8948, 2024.
2.
Junyan Huo, Danni Wang, Hui Yuan, Shuai Wan, Fuzheng Yang, "Adaptive Chroma Prediction Based on Luma Difference for H.266/VVC", IEEE Transactions on Image Processing, vol.32, pp.6318-6331, 2023.
3.
Jing Ye, Liang Zhao, Xin Zhao, Shan Liu, "Improved Chroma From Luma Intra Prediction Mode Beyond AV1", 2023 IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, 2023.
4.
Liang Zhao, Xin Zhao, Shan Liu, "Advanced Motion Vector Difference Coding Beyond AV1", 2022 IEEE International Conference on Image Processing (ICIP), pp.3631-3635, 2022.
