Bayesian generation based foveated JND estimation in the DCT domain

IF 3.7 2区工程技术 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Displays Pub Date : 2025-02-25 DOI:10.1016/j.displa.2025.103003

Lianmin Zhang , Hongkui Wang , Qionghua Luo , Wei Zhang , Haibing Yin , Tiansong Li , Li Yu , Wenyao Zhu

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引用次数: 0

Abstract

The Just Noticeable Distortion (JND) threshold refers to the inability of the human visual system (HVS) to perceive pixel changes below a certain visibility threshold. In this paper, we focus on the cross-domain operation problem of JND estimation in the DCT domain. In order to solve this problem and improve the accuracy of DCT-JND estimation, we design an autoregressive model based on the Bayesian generation theory to simulate the spontaneous predictive behavior of HVS. Based on this model, an entropy masking (EM) effect based JND moderator is then proposed. Considering the visual attention and foveated masking (VFM) effect, this paper predicts visual saliency and the fixation points in the DCT domain, an enhanced foveated masking effect based JND moderator is then presented. Finally, combined with other JND moderators, the Bayesian generation based foveated DCT-JND model is obtained. Subjective and objective experimental results show that the proposed model could further improve the accuracy of JND threshold estimation in the DCT domain while avoiding the cross-domain operation.

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来源期刊

Displays 工程技术-工程：电子与电气

CiteScore

4.60

自引率

25.60%

发文量

138

审稿时长

92 days

期刊介绍： Displays is the international journal covering the research and development of display technology, its effective presentation and perception of information, and applications and systems including display-human interface. Technical papers on practical developments in Displays technology provide an effective channel to promote greater understanding and cross-fertilization across the diverse disciplines of the Displays community. Original research papers solving ergonomics issues at the display-human interface advance effective presentation of information. Tutorial papers covering fundamentals intended for display technologies and human factor engineers new to the field will also occasionally featured.