Abstract
In current days, an image fusion is a powerful method and developing field in the area of image processing. The image fusion is the process of combining two or more images into a single image then the resulting image will appear more informative than any of the input images. It is the process of assimilation of numerous input images into a new single fused image with highly informative than the input image. There are various image fusion transform techniques are proposed. Out of that techniques a Non-subsampled shearlet transform includes shift invariant property, highly directionality, feasible and more efficient information as compared to previous techniques such as wavelet transform(WT), DWT, LWT, MWT, CWT, Curvelet transform, Counterlet transform, and Nonsubsampled Counterlet transform(NSCT). This NSST technique is carried out by adjusting the levels with filter banks. Downsampling is used to reconstruct. NSST decomposition provides a simple hierarchical framework for image fusion with different geographical resolution.
Highlights
The word image fusion means associating all the particulars from various images and their inclusion into fused image
To overcome these drawbacks we go for Nonsubsampled Contourlet Transform (NSCT)
Shearlet Transform is a powerful tool for Multiscale Geometric Analysis (MGA) having rich mathematical structure
Summary
The word image fusion means associating all the particulars from various images and their inclusion into fused image. Applications where image fusion used are remote sensing, satellite imaging, medical field etc. Image fusion is mainly used in medical field, this paper deal the various medical images. In the medical field still there are so many cases which were not clearly diagnosed by CT scan, PET scan, SPECT scan, MRI scan. Because there is a little information is extracted by the doctors because of the low resolution of the images. To overcome the low resolution of images NSST image fusion algorithm was implemented.
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