Color Correction for Multi-view Video Based on SVR

Abstract

Significant color discrepancies between the different camera views can be observed in multi-view video sequences. In this paper, a color correction algorithm based on support vector regression is proposed. A mapping function is established by extracted feature points from original-image and target-image. Then the mapping function is applied to the original image to obtain the corrected image. Experimental results show that the proposed method can produce good correction result. It also shows that the color differences between multi-view video can be effectively reduced by SVR.