DocumentCode
2430641
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
fYear
2008
fDate
7-11 June 2008
Firstpage
592
Lastpage
597
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICNNSP.2008.4590419
Filename
4590419
Link To Document