In this paper, a perceptual video coding system is developed based on the newest coding standard-HEVC/H.265. We propote a local Just-Noticeable-Difference (JND) model, which simultaneously considers the contrast sensitivity model, luminance masking, temporal masking, residue-dependent adjustment, and the summation effect of quantization distortion to get the weighting of importance of human eye perception for each coding unit (CU) in a video frame. The proposed algorithm achieves better bit allocation for video coding systems by changing quantization parameters at CU level. Simulation and subjective experiments show that our system achieves average 14% bitrate saving in the QP range of 27–37 without perceptual quality degradation.
['Wen-Wei Chao', 'Yen-Yu Chen', 'Shao-Yi Chien']
Perceptual HEVC/H.265 system with local just-noticeable-difference model