Asymmetric Dct-Jnd for Luminance Adaptation Effects: an Application To Perceptual Video Coding in Mv-Hevc
Sami Jaballah, Mohamed-Chaker Larabi, Jamel Belhadj Tahar
Abstract
Based on psychophysical experiments, we propose an asymmetric 3D just noticeable difference model (AJND) in the DCT domain taking into consideration the binocular properties of the human visual system (HVS), the background luminance and the spatial frequency of each DCT component. Subjective evaluations of the proposed AJND demonstrated that our proposed model offers good perceptual quality and could tolerate more distortion with PSNR reaching 24.19 dB. The proposed model has been used to perceptually optimize MV-HEVC by suppressing the residual transform coefficient that are lower than AJND values. Experimental results show that the proposed algorithm can achieve up to 14.62% bit-rate saving while preserving the perceived image quality.
BibTeX
@inproceedings{icassp2018_asymmetricdctjnd,
title = {Asymmetric Dct-Jnd for Luminance Adaptation Effects: an Application To Perceptual Video Coding in Mv-Hevc},
author = {Sami Jaballah and Mohamed-Chaker Larabi and Jamel Belhadj Tahar},
booktitle = {ICASSP 2018},
year = {2018}
}