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An effective algorithm based on cluster analysis for CFA image processing

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2 Author(s)
Lingyan Fan ; Electrical Engineering Department, Hangzhou Dianzi University, 310018, China ; Zhe Chen

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.

Published in:

Neural Networks and Signal Processing, 2008 International Conference on

Date of Conference:

7-11 June 2008