Pseudo-sequence-based light field image compression

Dong Liu, Lizhi Wang, Li Li, Zhiwei Xiong, Feng Wu, Wenjun Zeng

Abstract: We propose a pseudo-sequence-based scheme for light field image compression. In our scheme, the raw image captured by a light field camera is decomposed into multiple views according to the lenslet array of that camera. These views constitute a pseudo sequence like video, and the redundancy between views is exploited by a video encoder. The specific coding order of views, prediction structure, and rate allocation have been investigated for encoding the pseudo sequence. Experimental results show the superior performance of our scheme, which achieves as high as 6.6 dB gain compared with directly encoding the raw image by the legacy JPEG.