Video quality assessment by decoupling additive impairments and detail losses

Songnan Li, Lin Ma, K. Ngan
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引用次数: 12

Abstract

In this paper, a review on existing methods of extending image quality metric to video quality metric is given. It is found that three processing steps are usually involved which include the temporal channel decomposition, temporal masking and error pooling. They are utilized to extend our previously proposed image quality metric, which separately evaluates additive impairments and detail losses, to video quality metric. The resultant algorithm is tested on subjective video database LIVE and shows a good performance in matching subjective ratings.
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解耦附加损伤和细节损失的视频质量评估
本文综述了现有的将图像质量度量扩展到视频质量度量的方法。研究发现,该方法通常涉及三个处理步骤:时域信道分解、时域掩蔽和误差池化。它们被用来扩展我们之前提出的图像质量指标,分别评估附加损伤和细节损失,视频质量指标。在主观视频数据库LIVE上进行了测试,结果表明该算法在匹配主观评分方面表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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