Light field image coding via linear approximation prior
Shengyang Zhao, Zhibo Chen · 2017
In recent years, the light field (LF) image as a new imaging modality has attracted much interest. While light field camera records both the luminance and direction of the rays in a scene, large amount of data makes it a great challenge for storage and transmission. Thus an adequate compression scheme is desired. In this paper, we propose a new prior, called linear approximation prior that reveals intrinsic property among the LF sub-views. It indicates that we can approximate a certain view with a weighted sum of other views. By fully exploiting this prior we propose a powerful coding scheme. The experiments show the superior performance of our scheme, which achieves as large as 45.51% BD-rate reduction and 37.41% BD-rate reduction on average compared with the High Efficiency Video Coding (HEVC).