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Eliminating unbalanced defocus blur with a binocular linkage network.

In this paper, we address the issue of the unbalanced defocus blur problem in stereo vision by a deblurring binocular linkage network. A similarity-enhanced loss function, which regularizes the difference between the output images by disparity warping, is proposed for the left-right sharpness consistency of the outputs. A high match rate is obtained. We test our methods on both synthetic and real data. The experimental results show that our method outperforms the state-of-the-art single and stereo deblurring methods for high accuracy in stereo matching, which is very helpful for long-distance stereo vision measurement.