一种多色度格式级联编码的AVS2全色度图像编码算法

A multi-chroma format cascaded coding method for full-chroma image in AVS2

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.