Multiview Video Super-Resolution via Information Extraction and Merging

Yawei Li, Xiaofeng Li, Zhizhong Fu, Wenli Zhong
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
Multiview video super-resolution provides a promising solution to the contradiction between the huge data size of multiview video and the degraded video quality due to mixedresolution compression. This algorithm consists of two different functional layers. An information extraction layer draws relevant high-frequency information from the highresolution views via depth-image-based rendering and interpolation. A merging layer fuses multiview high-frequency information to refine the low-resolution
more » ... the low-resolution view. In this paper, we introduce kernel regression and non-local means to improve the two layers, respectively. Kernel regression adapts to the local image structure and thus outperforms basic interpolation methods. Non-local means exploits the similarity between different views of multiview videos to restore the high-frequency component of a low-resolution image. We constrain non-local means by limiting the pixels used to restore a pixel. The experimental results show the effectiveness of the proposed algorithm.
doi:10.1145/2964284.2967260 dblp:conf/mm/LiLFZ16 fatcat:but5eaqrv5bzxakqxdo6jxrc4e