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 wry helpful for long-distance stereo vision measurement. (C) 2021 Optical Society of America