{"id":339866,"date":"2016-12-21T09:02:20","date_gmt":"2016-12-21T17:02:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=339866"},"modified":"2018-10-16T21:17:40","modified_gmt":"2018-10-17T04:17:40","slug":"compression-image-based-rendering-scene-comparison-among-block-reference-wavelet-coders","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/compression-image-based-rendering-scene-comparison-among-block-reference-wavelet-coders\/","title":{"rendered":"On the Compression of Image Based Rendering Scene: A Comparison Among Block, Reference and Wavelet Coders"},"content":{"rendered":"<p>In image based rendering (IBR), a 3D scene is recorded through a set of photos which is then rendered to form novel views. Compression is essential to reduce the huge data amount of IBR. In this paper, we examine three categories of IBR compression algorithms: the block coder, the reference coder and the wavelet coder. We examine both the compression efficiency and the capability to render the compressed IBR bitstream in real-time. It is observed that the block coder consumes the least computation resource, however, its compression ratio is low. The reference coder achieves good compression ratio with reasonable computation complexity. The wavelet coder achieves the best compression ratio.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In image based rendering (IBR), a 3D scene is recorded through a set of photos which is then rendered to form novel views. Compression is essential to reduce the huge data amount of IBR. In this paper, we examine three categories of IBR compression algorithms: the block coder, the reference coder and the wavelet coder. 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