Comparative Analysis of PCA, DCT & DWT based Image Fusion Techniques

Abstract

Image fusion is the process of combining relevant information from two or more images into a single image. The resulting image will be more informative than any of the input images. The object of image fusion is to retain the most desirable characteristics of each image. This paper discusses about the Formulation, Process Flow Diagrams and algorithms of PCA (principal Component Analysis), DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform) based image fusion techniques. The results are also furnished in picture and table format for comparative analysis of above techniques. This paper presents the three different image fusion techniques and there comparative analysis, as the conventional fusion techniques PCA and DCT has some drawbacks .The comparative study concludes that DWT is the best approach for image fusion. In this paper DWT based two algorithms are proposed, these are maximum pixel replacement and pixel averaging approach.