A stereoscopic image consists of two views rendering a depth sense. Indeed each eye is constrained to look at one view, and the small objects displacements across the two views are interpreted as an indication of depth. These displacements are exploited as specific inter-view redundancies from a compression viewpoint. The classical still compression scheme, called disparity-compensated compression scheme, compresses one view independently of the second view, and a block-based disparity map modeling the displacements is losslessly compressed. The difference between the original view and its disparity predicted view is then compressed and used by the decoder to compute the compensated view to improve the disparity predicted view. However, a proof of concept work has already shown that selecting disparities according to the compensated view, instead of the predicted view, yields increased rate-distortion performance. This paper derives from the JPEG-coder, a disparity-dependent analytic expression of the distortion induced by the compensated view. This expression is embedded into an algorithm with a reasonable numerical complexity approaching the performance obtained with the proof of concept work. The proposed algorithm, called fast disparity-compensated block matching algorithm, provides at the same bitrate an average performance increase as compared to the classical stereoscopic image coding schemes.

中文翻译：

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视差选择由给定比特率的补偿图像质量控制

立体图像由呈现深度感的两个视图组成。事实上，每只眼睛都被约束只能看一个视图，并且两个视图之间的小物体位移被解释为深度的指示。从压缩的角度来看，这些位移被用作特定的视图间冗余。经典的静止压缩方案，称为视差补偿压缩方案，独立于第二个视图压缩一个视图，并且对位移建模的基于块的视差图被无损压缩。原始视图与其视差预测视图之间的差异随后被压缩并由解码器使用以计算补偿视图以改进视差预测视图。然而，概念验证工作已经表明，根据补偿视图选择差异，而不是预测视图，产生增加的率失真性能。本文源自 JPEG 编码器，它是补偿视图引起的失真的视差相关解析表达式。该表达式被嵌入到一个算法中，该算法具有合理的数值复杂度，接近通过概念验证工作获得的性能。所提出的算法称为快速视差补偿块匹配算法，与经典的立体图像编码方案相比，在相同的比特率下提供了平均性能提高。该表达式被嵌入到一个算法中，该算法具有合理的数值复杂度，接近通过概念验证工作获得的性能。所提出的算法称为快速视差补偿块匹配算法，与经典的立体图像编码方案相比，在相同的比特率下提供了平均性能提高。该表达式被嵌入到一个算法中，该算法具有合理的数值复杂度，接近通过概念验证工作获得的性能。所提出的算法称为快速视差补偿块匹配算法，与经典的立体图像编码方案相比，在相同的比特率下提供了平均性能提高。