FrequencyDomain Analysis Based Exploitation Of Color Channels For Color Image Demosaicking Colordifference interpolation (CDI) has been a widely used technique for various color demosaicking methods. CDIbased methods perform interpolation in the colordifference domain assuming that the colordifference signal is a lowpass signal. Recently, a residual interpolation (RI) algorithm, which conducts interpolation in the residual domain, has been developed, and it assumes that the residual domain is flatter or smoother than the channeldifference domain. In this paper, we comprehensively show a frequency domain analysis of these assumptions and observe that it is image dependent and creates artifacts in the interpolated image. With this view, we propose an algorithm that uses the intercolor correlation as well as the residual smoothness among the different channel much better than the existing algorithms. Experimental results emphasize that the proposed algorithm atribute better performances the existing algorithms in terms of both visual and objective quality.

Color and Illumination Compensation Scheme for Multiview Video Service This paper deals with the problem of color and illumination compensation for multiview video service. In particular, we focus on finding a simple and lightweight color compensation algorithm because it is more friendly for realtime service. In this paper, we developed multiview rendering software and applied and tested the diagonal matrix based color compensation method. Through experiments, we confirmed that there are advantages of diagonal color transfer model compared with histogram matching and statistical color transfer scheme. We also have experimentally observed that the approach works even when the multiview image is corrupted under realistic conditions such as rain or sunflare.