A quantitative distortion measure is proposed in this paper to measure the blocking artifact, which is a common problem in block-based coding mechanisms used in various digital image and video coding standards. The quantitative distortion measure, called Generalized Block-edge Impairment Metric (GBIM), has been improved by incorporating human perceptual characteristics based on local statistics and L/sub /spl infin// distortion measure along the block boundaries of a digitally compressed video image. This Improved Block-edge Impairment Metric (IBIM(L/sub /spl infin//)) gives results which are consistent and highly correlated with subjective evaluations.
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机译：本文提出了定量变形度量，以测量阻塞伪像，这是在各种数字图像和视频编码标准中使用的基于块的编码机制中的常见问题。通过基于局部统计数据的人类感知特性并沿数字压缩视频图像的块边界结合了人类感知特性，已经改善了称为广义块边缘损伤度量（GBIM）的定量失真测量。这种改进的块边缘损伤度量（IBIM（L / SUB / SPL INFIN //）提供了与主观评估一致且高度相关的结果。
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