Region-Based Image Fusion Using Complex Wavelets

Image fusion using discrete complex wavelets is used to improve signal to noise ratio and good quality and shift invariant. This technique can be used for fusion of complementary information images as well as multi model image fusion. The proposed algorithm is very simple, easy to implement and could be used for real time applications. A Novel region- based method increase flexibility. A dual tree complex Wavelet transforms (DT-CWT) is used to segment the features of input images, to produce region map. Characteristics of each region are calculated and a region based approach is used to fuse the images, region-by-region , in the Wavelet domain .This method gives results comparable to pixel based fusion methods , but despite an increase in complexity.

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