Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (2): 79-83.doi: 10.13190/j.jbupt.2017.02.012

• Papers • Previous Articles     Next Articles

Improved Just Noticeable Model with Saliency Map

XIAO He, TU Qin, MEN Ai-dong   

  1. Department of Telecommunications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2016-07-11 Online:2017-04-28 Published:2017-04-26

Abstract: Based on existing saliency detection algorithm, a model of joint estimation just noticeable distortion(JND) was proposed. This model not only makes full use of the advantage of the JND model, based on pixel domain and transform domain, but also employs the character of human visual system. The saliency detection algorithm used for saliency map, is employed to assign different weights to JND model, based on different brightness and color. The JND model based on pixel domain is mainly used on plain area, and the JND model, with masking effect and contrast sensitivity function, based on transform domain is used on texture area. The proposed model is introduced into the HEVC sample platform HM16.4. Experiments show that the proposed JND model, compared to HEVC standard, have the similar subjective quality.

Key words: perceptual video coding, human visual system, contrast sensitivity function, just noticeable distortion

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