Multi-view image coding using disparity-compensated and weighted binary patterns
Koji Komatsu, Keita Takahashi, Toshiaki Fujii · International Workshop on Advanced Image Technology (IWAIT) 2019 · 2019
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.