An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels

Abstract

In this paper, a High Efficiency Video Coding (HEVC)-compliant perceptual video coding (PVC) scheme is introduced based on just-noticeable difference (JND) models in both transform and pixel domains. We adopt an existing pixel-domain JND model for the transform skip mode of HEVC and propose a transform-domain JND model for the transform nonskip modes of HEVC. The proposed transform-domain JND model is designed by considering the spatial JND characteristics such as contrast sensitivity, luminance adaptation, and contrast masking effects as well as by considering the summation effects of variable block-sized transforms in HEVC. A temporal JND model is additionally incorporated into the proposed transform-domain JND model to further reduce perceptual redundancy. To incorporate the transform- and pixel-domain JND models into the encoding process in an HEVC-compliant manner, the transform coefficients and residues are suppressed in harmonization with the transform/quantization process and the quantization-only process of HEVC, respectively. To make the JND-based suppression effective, a distortion compensation factor is also proposed to reflect the perceptual distortion in the rate-distortion optimization-based encoding process. Based on subjective quality assessments of the encoded bit streams of test sequences, the proposed HEVC-compliant PVC scheme yields remarkable bitrate reductions of a maximum 49.10% and an average 16.10% with negligible subjective quality loss, compared with an HEVC reference software HEVC test model (HM 11.0). In addition, the proposed HEVC-compliant PVC scheme increases the encoding complexity of HM 11.0 only by an average of 11.25%.