밝기성분 기반의 광원추정을 이용한 칼라영상 복원

Abstract

This paper proposes a new color image recovery method based on the color constancy algorithm. This method uses a color constancy model which represents the characteristics of human visual system. The most important process of color constancy model is the estimation of the spectral distributions of illuminant of an input image. To estimate of the spectral distributions of illuminant of an input image, we use the brightest pixel values and the values of surface reflectance of an input image using a principal component analysis of the given munsell chips. We estimate a CIE tristimulus values of an input image using the estimated spectral distributions of illuminant and recover an image by scaling it regularly. From the experimental results, the proposed method was effective in recovering the color images.