Abstract—In this paper a region-adaptive demosaicking algorithm with low computational complexity for single-sensor digital cameras is proposed. The proposed algorithm firstly divides the input image into two kinds of regions and then adopts different interpolation methods for each type. The proposed interpolation method makes full use of bilinear’s fast execution speeds in the smooth region. And it directly extracts and recovers edge information with weighted values of multidirectional components in edge regions. Experimental results show that the proposed method has an outstanding performance not only in subjective visual quality but also in terms of composite peak signal to noise ratio (CPSNR).

Index Terms—Adaptive demosaicking, Bayer pattern, color filter array (CFA), smooth region, weighted average

Cite: Jia Shi, Chengyou Wang, and Shouyi Zhang, "Region-Adaptive Demosaicking with Weighted Values of Multidirectional Information," Journal of Communications, vol. 9, no. 12, pp. 930-936, 2014. Doi: 10.12720/jcm.9.12.930-936