Wavelet Based Image Fusion Techniques: A Comparison Based Review

Picture fusion is a method of merging several images of the same object into a single image that is simpler yet more informative than the originals and avoids distortions. This is done mostly to increase image sharpness, contrast, overall clarity, enhanced characteristics and decrease image ambiguity. The necessity of image fusion is growing recently in image processing applications due to the tremendous amount of acquisition systems. They differ in whether the images are merged in the spatial domain or before being converted into another domain. The methods are grouped into different categories: Fusion in the space domain; fusion of frequency domain in the last decade but the use of wavelets in image fusion has become a subject of attention among academics. This paper attempts to compile a list of the various image fusion techniques currently in use. The evaluation of two or more images based on wavelet transform fusion is described in this paper.