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Depth map upsampling with image decomposition
Author(s) -
Jung Chanho,
Joo Sanghyun,
Ji Su Mi
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.1216
Subject(s) - upsampling , artificial intelligence , depth map , computer vision , image (mathematics) , pixel , computer science , mathematics , image texture , image processing , pattern recognition (psychology) , algorithm
Two novel approaches for depth map upsampling are presented. A depth upsampling method using image decomposition is first proposed. Most of previous depth upsampling techniques have suggested the use of colour image as a guide. Unlike the conventional algorithms, the method decomposes the colour image into its structure and texture layers, and then makes use of the structure component instead of the colour image in the reconstruction of depth values. Furthermore, the structure information‐based method is extended to a hybrid depth upsampling approach, which takes the advantages of both structure and colour maps. Experimental results demonstrate that the proposed depth map upsampling methods perform better than the previous algorithms in terms of the bad pixel rate.

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