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Journal of Applied Remote Sensing

Spaceborne multiview image compression based on adaptive disparity compensation with rate-distortion optimization
Author(s): Shigao Li; Kehua Su; Liming Jia
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Paper Abstract

Disparity compensation (DC) and transform coding are incorporated into a hybrid coding to reduce the code-rate of multiview images. However, occlusion and inaccurate disparity estimations (DE) impair the performance of DC, especially in spaceborne images. This paper proposes an adaptive disparity-compensation scheme for the compression of spaceborne multiview images, including stereo image pairs and three-line-scanner images. DC with adaptive loop filter is used to remove redundancy between reference images and target images and a wavelet-based coding method is used to encode reference images and residue images. In occlusion regions, the DC efficiency may be poor because no interview correlation exists. A rate-distortion optimization method is thus designed to select the best prediction mode for local regions. Experimental results show that the proposed scheme can provide significant coding gain compared with some other similar coding schemes, and the time complexity is also competitive.

Paper Details

Date Published: 5 February 2016
PDF: 16 pages
J. Appl. Remote Sens. 10(1) 015009 doi: 10.1117/1.JRS.10.015009
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Shigao Li, Wuhan Polytechnic Univ. (China)
Kehua Su, Wuhan Univ. (China)
Liming Jia, Wuhan Polytechnic Univ. (China)


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