Perceptual multiview video coding based on foveated just noticeable distortion profile in DCT domain

Recently just noticeable distortion (JND) has been highly successful in improving the video coding efficiency. Foveated JND (FJND) is an extension of the JND by further exploiting the human vision characteristic. However, there is a challenge to quickly estimate the foveation point and accurately combine the foveation factor with the spatio-temporal JND model of DCT domain for FJND. In this paper, a new FJND model in DCT domain is proposed, which adaptively searches the foveation point by exploiting the property of image signature and builds a foveation model based on the contrast threshold. Experimental results demonstrate that the proposal model remarkably reduces the complexity of FJND in searching foveation. In a number of video coding experiments, we find that, in terms of coding efficiency, the proposed perceptual coding based on FJND for multiview video coding (MVC) significantly outperforms the existing algorithm.