Binocular vision imaging algorithm under dynamic range compensation

Abstract

Aiming at the problem of limited dynamic range in the imaging process of existing binocular cameras, a binocular vision algorithm based on HDRI (High Dynamic Range Imaging, HDRI) technology is proposed to improve image quality. It mainly includes the distortion correction processing of the low dynamic range image sequence collected by the camera; then the rapid calibration of the camera response function of the corrected image sequence to synthesize the high dynamic range image; and then the introduction of the chromaticity space color correction algorithm, in the image chromatic aberration and elimination Perform linear interpolation between chromatic aberrations to achieve the goal of self-adaptive correction of image chromaticity information. The experimental results show that the HDR (High Dynamic Range, HDR) image synthesized by the proposed algorithm has clear surface details and balanced colors, and has a good optimization effect in terms of imaging dynamic range compensation and image visualization, which further improves the image quality after binocular vision imaging and has good practical value.