Asymmetric Stereoscopic Images Coding using Perceptual Model
Samira Ouddane, Kamel Mohamed Faraoun
Journal of Multimedia Processing and Technologies, Vol. 9, No. 2, 2018.
DOI: https://doi.org/10.6025/jmpt/2018/9/2/59-70
Link: http://www.dline.info/jmpt/fulltext/v9n2/jmptv9n2_3.pdf
Abstract:
Significant research works have been devoted to asymmetric stereoscopic coding technique. Based on the
perceptual theory of binocular suppression, in this method, one view of the stereo pair can be coded with a lower quality than
the other, thus allowing to decrease bandwidth requirement for 3D visual content delivery without degrading subjective
quality. However, with the condition that the quality gap between both images does not exceed a certain threshold. Some
works proposed to fix this threshold by subjective experiments. Nevertheless, using a fixed threshold does not allow adaptation
to the stereo image content and presents dependency to the experimental design. In this paper, we propose a novel method
that selects automatically the maximum tolerable quality gap between views for different stereo image pairs. This has been
achieved by modeling the relationship between the asymmetric quality and the interview distortion between corresponding
pixels. Then, the derived relationship is combined with Binocular Just Noticeable Difference (BJND) model to control the
quality threshold between the left and right views. Experimental results showed that the proposed coding method can
achieve considerable bitrate saving up to 16.32% and outperforms the widely used asymmetric coding approaches.