Fuzzy-assignment-based color interpolation algorithm
Ping‐Sing Tsai, Tinku Acharya · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
In an electronic color imaging device such as a digital camera using a single CCD or CMOS sensor, the color information is usually acquired in sub-sampled patterns of red (R), green (G) and blue (B) pixels. Full resolution color is subsequently generated from this sub-sampled image. This is popularly called Color Interpolation or Color Demosaicing. In this paper, we present a color interpolation algorithm using the method of fuzzy membership assignment along with the concept of smooth hue transition. The algorithm is adaptive in nature and produces superior quality full resolution color images compared to most of the popularly known color interpolation algorithms in the literature. Performance of the algorithm has been compared with a previously proposed block matching algorithm for color interpolation by the authors as well as the popularly used bilinear color interpolation. We present the results of comparison with some challenging sub-sampled images for color interpolation.