Multi-view image coding using disparity-compensated and weighted binary patterns

Koji Komatsu; Keita Takahashi; Toshiaki Fujii

doi:10.1117/12.2521374

22 March 2019 Multi-view image coding using disparity-compensated and weighted binary patterns

Koji Komatsu, Keita Takahashi, Toshiaki Fujii

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104930 (2019) https://doi.org/10.1117/12.2521374
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

We proposed an efficient coding scheme for a dense light field, i.e., a set of multi-view images taken with very small viewpoint intervals. The key idea behind our proposal is that a light field is represented only using some weighted binary images. This coding scheme is completely different from modern video codecs, but it has some advantages. For example, the decoding process is extremely simple, which leads to a faster and less power-hungry decoder. Moreover, we found that our scheme can achieve comparable rate-distortion performances to that of modern video codecs for datasets with small disparities. However, it is difficult to express regions with larger disparities using only a limited number of common binary images. Therefore, in this paper, we extend our light field coding scheme to the one with disparity-compensation and show its effectiveness.

Citation Download Citation

Koji Komatsu, Keita Takahashi, and Toshiaki Fujii "Multi-view image coding using disparity-compensated and weighted binary patterns", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104930 (22 March 2019); https://doi.org/10.1117/12.2521374

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KEYWORDS

Binary data

Image compression

Video

3D video compression

Video compression

Visualization

Image quality

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