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An Adaptive Wavelet based Fusion Approach for Efficient Image Restoration

by Simpy Kumari, Paresh Rawat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 26
Year of Publication: 2018
Authors: Simpy Kumari, Paresh Rawat
10.5120/ijca2018918130

Simpy Kumari, Paresh Rawat . An Adaptive Wavelet based Fusion Approach for Efficient Image Restoration. International Journal of Computer Applications. 182, 26 ( Nov 2018), 11-16. DOI=10.5120/ijca2018918130

@article{ 10.5120/ijca2018918130,
author = { Simpy Kumari, Paresh Rawat },
title = { An Adaptive Wavelet based Fusion Approach for Efficient Image Restoration },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2018 },
volume = { 182 },
number = { 26 },
month = { Nov },
year = { 2018 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number26/30139-2018918130/ },
doi = { 10.5120/ijca2018918130 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:32.139958+05:30
%A Simpy Kumari
%A Paresh Rawat
%T An Adaptive Wavelet based Fusion Approach for Efficient Image Restoration
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 26
%P 11-16
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays lots of work is going to be done on the field of image fusion and also used in various application such as medical imaging and multi spectra sensor image fusing etc. For fusing the image various techniques has been proposed by different previous works such as wavelet transform, IHS (Intensity, Hue and Saturation) and Principal Component Analysis (PCA), based methods etc. In this paper literature of the image fusion is discussed with implementation using wavelet transform used for the specific application as in the image restoration field. Using Image fusion may improve the perceptual quality of the restored images. Usually image de-blurring methods are used at the front end for restoration and then image fusion is used for improving the visual quality. Paper uses three de-blurring technique to blindly restoring the image then use statistical parameters for adopting the best fused images out of various hybrid fusion results. Performance is tested on images with distinct features.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Restoration Image Fusion Discrete Wavelet Transform Blind de-convolution Wiener filter Entropy

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