Implementation of Wavelet and Curvelet Transform for Image Fusion

Abstract

This paper introduces a wavelet transform, as well as a second generation curvelet transform, as a basis for the creation of image fusion techniques. We also present a wavelet transform, as well as an image fusion strategy that is founded on the wavelet transform. With the wavelet transform, it is not feasible to correctly represent edges and singularities. So the wavelet transform is used in conjunction with the second generation curvelet transform, and the image fusion process is completed as a result of this combination. This approach is used to a variety of experiments to demonstrate its value, including multi-focus picture fusion and complementary image fusion, in order to demonstrate its effectiveness. Despite the fact that there are a significant number of source pictures employed, the suggested approach manages to maintain critical information from each one of the source images. It is utilised in this work to combine images and apply various wavelet treatments to them. It also makes use of the Second Generation Curvelet Transform, among other things..