Abstract

This paper shows that image fusion is a energetic area in digital image processing. The main goal of image fusion is always to merge information from multiple images of the exact same view in order to deliver only the useful information. It discuss the different image fusion techniques by utilizing these techniques original images were decomposed into low frequency sub band coefficients and band pass direction sub band coefficients based on the non-sub-sampled contour let transform whereas various maps of visual salient features are created by visual salient features the local energy, the contrast as well as the gradient .Low-frequency sub band coefficients are got by utilizing these visual saliency maps. The literature survey is conducted on various recent techniques of image fusion. The survey shows that although present NSCT turns based fusion outperforms over accessible techniques.

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