SADN: Learned Light Field Image Compression with Spatial-Angular Decorrelation. (arXiv:2202.10837v1 [eess.IV])

Light field image becomes one of the most promising media types for immersive
video applications. In this paper, we propose a novel end-to-end
spatial-angular-decorrelated network (SADN) for high-efficiency light field
image compression. Different from the existing methods that exploit either
spatial or angular consistency in the light field image, SADN decouples the
angular and spatial information by dilation convolution and stride convolution
in spatial-angular interaction, and performs feature fusion to compress spatial
and angular information jointly. To train a stable …

angular arxiv compression image