Title :
An effective algorithm based on cluster analysis for CFA image processing
Author :
Fan, Lingyan ; Chen, Zhe
Author_Institution :
Electr. Eng. Dept., Hangzhou Dianzi Univ., Hangzhou
Abstract :
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.
Keywords :
filtering theory; image colour analysis; image segmentation; pattern clustering; Bayer CFA pattern image; RGB image; adaptive algorithm; cluster analysis; color filter array; image demosaicking; image enlarging; image processing; Adaptive algorithm; Algorithm design and analysis; Charge-coupled image sensors; Clustering algorithms; Color; Digital images; Image analysis; Image processing; Interpolation; Sensor arrays; CFA; RGB image; demosizing;
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
DOI :
10.1109/ICNNSP.2008.4590419
