A Wavelet-Based Visible Distortion Measure for Video Quality Evaluation
In this paper, we propose a new video quality evaluation method, which measures the perceived error between original and distorted images using wavelet just-noticeable-distortion (JND) profile. The error of the subband coefficient that is below the visual detection threshold is ignored while some errors that take place in the content-activity regions are masked. Luminance masking and temporal contrast masking are integrated to adjust the perceived error. Experiments on VQEG (video quality expert group) test sequences show that the proposed method can achieve good correlation with subjective evaluation.