DocumentCode :
3578933
Title :
A novel and improved Spatial domain fusion method using Simple—PCA techniques
Author :
Morris, C. ; Rajesh, R.S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Manonmaniam Sundaranar Univ., Tirunelveli, India
fYear :
2014
Firstpage :
90
Lastpage :
94
Abstract :
Image fusion is widely recognized as an important technique in pattern recognition and computer vision. The object of image fusion is fuse one or more source images with different focus points in to one image, so that the result of image fusion is an image which is more clarity and better information. This paper presents a novel and improved pixel-level multifocal image fusion technique has been implemented. A proposed spatial domain technique is presented by Max, Min, PCA, Max-Min, Max-PCA and Min-PCA of image fusion techniques is done. The proposed spatial domain technique outperforms the state of the art spatial domain techniques. The experimental results demonstrate that the proposed approach performs better in both visual and quantitative scales.
Keywords :
computer vision; image fusion; image recognition; minimax techniques; principal component analysis; computer vision; improved pixel-level spatial domain multifocal image fusion technique; maxPCA technique; maxmin technique; minPCA technique; pattern recognition; principal component analysis; Covariance matrices; Face; Image fusion; PSNR; Principal component analysis; Transforms; Vectors; Image fusion; simple fusion and PCA; spatial domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Network Technologies (ICCNT), 2014 International Conference on
Print_ISBN :
978-1-4799-6265-5
Type :
conf
DOI :
10.1109/CNT.2014.7062731
Filename :
7062731
Link To Document :
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