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作 者:赵利平[1] 林涛[2] 周开伦[2] 胡珂立[1] 林春梅[1] ZHAO Liping;LIN Tao;ZHOU Kailun;HU Keli;LIN Chunmei(Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China;Institute ofVLSI, Tongji University, Shanghai 200092, China)
机构地区:[1]绍兴文理学院计算机科学与工程系,浙江绍兴312000 [2]同济大学超大规模集成电路研究所,上海200092
出 处:《电信科学》2018年第4期57-67,共11页Telecommunications Science
基 金:国家自然科学基金资助项目(No.61601200;No.61603258)~~
摘 要:在我国最新的第二代数字音视频编解码算法标准(AVS2)的基础上,提出了一种多色度格式级联编码(MCFCC)的全色度(4:4:4采样格式)图像编码算法。MCFCC算法首先对4:4:4采样格式的图像进行色度下采样转换成4:2:0采样格式的图像,然后进行4:2:0采样格式的帧内预测、变换、量化、反量化、反变换、熵编码和在率—失真最优化过程中使用带权重的4:4:4采样格式的失真计算方案,最后将其上采样为4:4:4采样格式的预测补偿图像并采用4:4:4采样格式的环内滤波补偿算法。实验结果表明:对于全色度自然图像,MCFCC算法在低编码复杂度和低实现成本(完全复用4:2:0编解码模块)的前提下,综合编码效率进一步提高。In the second generation of audio video coding standard(AVS2), a multi-chroma format cascaded coding method(MCFCC) for full-chroma(4:4:4 sampling format) images coding was proposed. The MCFCC algorithm firstly converts the 4:4:4 sampling format image into 4:2:0 sampling format image, then the 4:2:0 sampling format image was processed by 4:2:0 sampling format intra prediction, transform, quantization, inverse quantization, inverse transform, entropy coding and a weighted 4:4:4 sampling format distortion calculation method in the rate-distortion optimization process, finally 4:4:4 sampling format in-loop filtering and offset algorithms were applied to the 4:4:4 sampling format image after up sampling. The experimental results show that, for full-chroma natural images, the MCFCC algorithm achieves higher coding efficiency at very low additional encoding complexity and very low additional design and implementation cost.
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