Colour correction of stereo images using local correspondence

Abstract

A method for enhancing the accuracy of colour correction in stereo images is proposed. The goal is to perform colour compensation at the corresponding points in a stereo image pair using local correspondence information. First, the relevant matching points for colour transfer are extracted using a modified stereo matching algorithm. Then, in order to account for illumination variations and occlusion areas, a new colour transfer method is applied through the weighted sum of the colour difference using local features. The performance of the proposed algorithm has been tested on the reference colourmodified Middlebury dataset.

Haze Image Recognition Based on Brightness Optimization Feedback and Color Correction

“…In order to further verify the validity of the color correction algorithm in this paper, color correction of stereo images using local correspondence (CC-LC) [10], Novel Multi-Color Transfer Algorithms and Quality Measure (NMCTA) [11], and ACG-CDT [17] are compared with the color correction algorithm in this paper. The comparison results are shown in Figure 17.…”

“…Vicker et al proposed plateau histogram equalization (PHE) to alleviate over-enhancement of illumination, whose probability density function is limited via a threshold [9]. In solving image color differences, Lee Yongho has designed a method for enhancing the accuracy of color correction in stereo images [10]. Karen Panetta proposed two new image multi-color transfer algorithms for still images and image sequences [11].…”