Joint disparity and variable size-block optimization algorithm for stereoscopic image compression
作者：
Highlights：
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• Disparity map estimation for stereoscopic image compression.
• Bitrate-efficient representation of an irregular-block image decomposition.
• Efficient rate-distortion suboptimal solution to a discrete optimization problem.
• Rate-distortion-optimization simplified algorithm using priority queues.
• Performance tests on stereoscopic images from the CMU/VASC and Middlebury datasets.
摘要
•Disparity map estimation for stereoscopic image compression.•Bitrate-efficient representation of an irregular-block image decomposition.•Efficient rate-distortion suboptimal solution to a discrete optimization problem.•Rate-distortion-optimization simplified algorithm using priority queues.•Performance tests on stereoscopic images from the CMU/VASC and Middlebury datasets.
论文关键词：Stereoscopic image,Stereo-matching,Disparity,Block matching,Variable size-block,Optimization
论文评审过程：Received 20 March 2017, Revised 16 October 2017, Accepted 16 October 2017, Available online 31 October 2017, Version of Record 10 November 2017.
论文官网地址：https://doi.org/10.1016/j.image.2017.10.008
