Survey on Different Image Fusion Techniques

Abstract

The term fusion means in general an approach to extraction of information acquired in several domains. The objective of Image fusion is to combine information from multiple images of the same scene in to a single image retaining the important and required features from each of the original image. The main task of image fusion is integrating complementry information from multiple images in to single image. The resultant fused image will be more informative and complete than any of the input image and is more suitable for human visual and machine perception. Certain algorithms can perform image fusion process. Image fusion techniques can improve the quality and increase the application of this image. The purpose of this paper to present an overview on different techniques of image fusion, such as primitive based fusion (averaging method, select maximum, select minimum), discrete wavelet transform based fusion, principal component analysis based fusion etc [1].