Image Fusion Based on Non sub sampled Shear let Transform
Jampani Ravi1, R. Narmadha2
1Jampani Ravi*, Research Scholar, ECE, Sathyabama Institute of Science & Technology, Chennai(Tamil Nadu), India.
2*R. Narmadha, Associate Professor, ECE, Sathyabama Institute of Science & Technology, Chennai(Tamil Nadu), India.
Manuscript received on January 23, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 29, 2020. | PP: 4177-4180 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5452029320/2020©BEIESP | DOI: 10.35940/ijeat.C5452.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 shear let 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, Counter let transform, and Nonsubsampled Counter let transform(NSCT). This NSST technique is carried out by adjusting the levels with filter banks. Down sampling is used to reconstruct. NSST decomposition provides a simple hierarchical framework for image fusion with different geographical resolution.
Keywords: Image fusion, NSCT, NSST, Quality parameters.