Efficient Image Fusion Using DWT

Abstract

The method of combining important details from two or more source images into a final fused image is known as Image Fusion. When compared to any of the other input images, our fused output image will have more detailed information in it. The objective of image fusion is to obtain the most desirable data from each image. Multi sensor image fusion algorithm based on three different fusion techniques have been discussed in this paper. Those are “Pixel Level Iteration”, “Directional Discrete Cosine Transform (DDCT)”, and “Discrete Wavelet Transform (DWT)”. The outcomes are additionally outfitted in picture and table organization for near examination of above methods. This paper shows the three distinctive picture combination strategies and there relative results, as the routine combination methods Direct Pixel Iteration and Discrete Cosine Transform has a few downsides. The similar study presumes that Discrete Wavelet Transform is one of the best and most effective algorithm for Image Fusion. In this thesis, Discrete Wavelet Transform based two calculations are proposed, these are Maximum Intensity Replacement and Band Averaging Method.