This paper proposes the method to measure perceptual quality of compressed video which is based on human visual features, video contents and Fuzziness.
论文提出了基于视觉特性、视频内容和模糊学的压缩视频感觉质量计算方法。
The prediction error can be decreased, incorporating with high accuracy estimation and compensation, and the quality of compressed video can be improved.
高精度的匹配和补偿可以减少预测误差，提高压缩视频图像的质量。
Blocking artifacts are serious artifacts caused by block-based hybrid video coding, and significantly impair the subjective quality of the compressed video.
方块效应是基于块的混合视频编码算法产生的重要特征失真，严重影响了压缩后视频的主观质量。
Blocking artifacts are serious artifacts caused by block-based hybrid video coding, and significantly impair the subjective quality of the compressed video.
方块效应是基于块的混合视频编码算法产生的重要特征失真，严重影响了压缩后视频的主观质量。
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