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Performance Evaluation of Modified SVD based Image fusion

Publication Type : Journal Article

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : IJCA

Source : IJCA (2012)

Url :

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Electronics and Communication, Sciences

Verified : Yes

Year : 2012

Abstract : Image fusion produces a single composite image from a set of input images, which is more suitable for visual perception and computer processing. This paper proposes Singular Value Decomposition (SVD) based fusion, which yields better results. The variation of data can be captured by SVD and is used to perform the fusion by varying singular values. This approach is implemented and compared with image fusion based on PCA (Principal component analysis) and performance is evaluated using various image quality measures such as PSNR, Normalized cross correlation, Structured content, MSE, Normalized absolute error. Simulation results of proposed approach shows significant performance improvement when compared with PCA based fusion.

Cite this Research Publication : A. P. Kurian, Dr. Soman K. P., Kartha, M. M., Lakshmi Mohan, and Bijitha S. R., “Performance Evaluation of Modified SVD based Image fusion”, IJCA, 2012.

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