Color Correction Based on Histogram Matching and Polynomial Regression for Image Stitching

Abstract

Image stitching is a widely used technique to obtain panoramas in daily life. There are often color differences between neighboring views due to different exposure levels and view angels. Although many different automatic color correction approaches have been proposed, they are not appropriate for all multi-view image and video stitching, especially when occlusion or parallax exists. This paper puts forward a new method based on histogram matching and polynomial regression. The experimental results show that the method has good effects on the color difference no matter whether parallax exists or not.