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Implementation of non-subsampled shearlet transform for image fusion

Author: 
Munde Vaijnath and Pradip C. Bhaskar
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Now a day an image fusion is an emerging field and powerful technology in the area of image processing. The process of integrating multiple input images into a new single composite image with more informative than any of input image. There are different image fusion transform techniques proposed by many researchers. Out of that transform techniques a Non-subsampled shearlet transform adds the property of shift-invariant, capture more directional information and represent the directions of edges more accurately as compared to other transform techniques such as discrete wavelet transform and Non-subsampled contourlet transform (NSCT) techniques. This paper presents concept of software simulation of Non-subsampled shearlet transform based decomposition algorithm for application of image fusion using MATLAB Simulink Library. Simulink library Blockset is used to implement a model which is able to do the pixel level averaging image fusion. Non-subsampled shearlet transform is implemented with the filter banks whose levels can be adjusted. The perfect reconstruction can be obtained with the down sampling of the images. NSST decomposition provides a simple hierarchical framework to fuse images with different spatial resolution. It is a powerful tool to separate the spectral content of an image from the spatial information.

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