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http://dx.doi.org/10.3837/tiis.2017.08.010

JND-based Multiple Description Image Coding  

Zong, Jingxiu (Department of Information Science and Engineering Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University)
Meng, Lili (Department of Information Science and Engineering Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University)
Zhang, Huaxiang (Department of Information Science and Engineering Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University)
Wan, Wenbo (Department of Information Science and Engineering Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.11, no.8, 2017 , pp. 3935-3949 More about this Journal
Abstract
In this paper, a novel multiple description image coding (MDC) scheme is proposed, which is based on the characteristics of the human visual model. Due to the inherent characteristics of human vision, the human eye can only perceive the change of the specific thresholds, that is, the just noticeable difference (JND) thresholds. Therefore, JND model is applied to improve MDC syetem. This paper calculates the DCT coefficients firstly, and then they are compared with the JND thresholds. The data that is less than the JND thresholds can be neglected, which will improve the coding efficiency. Compared with other existing methods, the experimental results of the proposed method are superior.
Keywords
multiple description image coding; just noticeable difference (JND); DCT coefficients;
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