Generalized YUV interpolation of CFA images

This paper presents a simple yet effective color filter array (CFA) interpolation algorithm. It is based on a linear interpolating kernel, but operates on YUV space, which results in a nontrivial boost on the peak signal-to-noise ratio (PSNR) of red and blue channels. The algorithm can be implemented efficiently. At the end of the paper, we present its performance compared with nonlinear interpolation methods and show that it's competitive even among state-of-the-art CFA demosaicing algorithms.

• Type: Journal
• Year: 2010
• Where: ICIP
• Authors: Meng Wang, Thierry Blu
• Keywords: Color Filter Array, ICIP 2010, Image Processing, Linear Interpolating Kernel, Nonlinear Interpolation Methods