Image Fusion Technique using Multi-resolution Singular Value Decomposition

V.P.S. Naidu

doi:10.14429/dsj.61.705

V.P.S. Naidu National Aerospace Laboratories, Bengaluru

DOI: https://doi.org/10.14429/dsj.61.705

Keywords: Multi-sensor image fusion, Multi-resolution SVD, image fusion performance evaluation metrics

Abstract

A novel image fusion technique based on multi-resolution singular value decomposition (MSVD) has been presented and evaluated. The performance of this algorithm is compared with that of well known image fusion technique using wavelets. It is observed that image fusion by MSVD perform almost similar to that of wavelets. It is computationally very simple and it could be well suited for real time applications. Moreover, MSVD does not have a fixed set of basis vectors like FFT, DCT and wavelet etc. and its basis vectors depend on the data set.

Defence Science Journal, 2011, 61(5), pp.479-484, DOI:http://dx.doi.org/10.14429/dsj.61.705

Author Biography

V.P.S. Naidu, National Aerospace Laboratories, Bengaluru

Dr. V.P.S. Naidu obtained M.E in Medical electronics from Anna University Chennai and PhD from University of Mysore. Presently, He is working at multi-sensor data fusion lab, National Aerospace Laboratories, Bengaluru as scientist since December 2001. His areas of interest are: multi sensor data fusion and enhanced flight vision system.