Image fusion using Kekre's hybrid wavelet transform

Abstract

Image fusion combines several images of same object or scene so that the final output image contains more information. The main requirement of the fusion process is to identify the most significant features in the input images and to transfer them without loss into the fused image. This paper proposes four new techniques for image fusion using Kekre's hybrid wavelet transform techniques and compare them. Hybrid matrices are generated using combination of various matrices like DCT, Hadamard and Kekre's Transform. The main advantage of these transform matrices is that it can be of any size N×N, which need not to be an integer power of 2.