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http://dx.doi.org/10.6109/jkiice.2013.17.4.935

Illumination Compensation Algorithm based on Segmentation with Depth Information for Multi-view Image  

Kang, Keunho (광운대학교)
Ko, Min Soo (광운대학교)
Yoo, Jisang (광운대학교 전자공학과)
Abstract
In this paper, a new illumination compensation algorithm by segmentation with depth information is proposed to improve the coding efficiency of multi-view images. In the proposed algorithm, a reference image is first segmented into several layers where each layer is composed of objects with a similar depth value. Then we separate objects from each other even in the same layer by labeling each separate region in the layered image. Then, the labeled reference depth image is converted to the position of the distortion image view by using 3D warping algorithm. Finally, we apply an illumination compensation algorithm to each of matched regions in the converted reference view and distorted view. The occlusion regions that occur by 3D warping are also compensated by a global compensation method. Through experimental results, we are able to confirm that the proposed algorithm has better performance to improve coding efficiency.
Keywords
Illumination compensation; Layer image; Labeling; 3D warping; Pre-processing of encoding;
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Times Cited By KSCI : 1  (Citation Analysis)
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