Edge-Based Demosaicking Method Using Uncorrelatedness With Sensors for CFA

Abstract

This paper presents a multiple edge detection by computing uncorrelatedness of the neighboring pixels in four locations: up, down, left, and right. To recover missing G in R and missing G in B, we use the derived weightings and the pixel contributions from the neighboring pixel information. When demosaicking the R and B arrays, an interpolation is used for the recovery of the missing R in B and missing B in R. The experimental results show that the proposed overall system outperforms the existing works. The proposed work is especially better than the state-of-the-art method by 1.23 dB in composite peak signal-to-noise ratio (CPSNR) and by −0.15 in a Spatial Extension to the CIE L*a*b* DeltaE Color Difference Metric (S-CIELAB), the lower the better, averaged over a standard image dataset.