An effective algorithm based on cluster analysis for CFA image processing
Lingyan Fan, Zhe Chen · 2008
This paper presents an effective adaptive algorithm based on cluster analysis for enlarging and demosaicking RGB images using Bayer CFA pattern images. The proposed method is efficient in fixed-point hardware implementation, and outperforms the existing weighing approach in terms of the perceptual quality. Experimental results show that this adaptive algorithm is effective both in implementation and output quality.