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Threshold based Approach for Image Blind Deconvolution

by Rachit Garg, Maitreyee Dutta, Ramteke Mamta G.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 6
Year of Publication: 2014
Authors: Rachit Garg, Maitreyee Dutta, Ramteke Mamta G.
10.5120/17694-8665

Rachit Garg, Maitreyee Dutta, Ramteke Mamta G. . Threshold based Approach for Image Blind Deconvolution. International Journal of Computer Applications. 101, 6 ( September 2014), 37-42. DOI=10.5120/17694-8665

@article{ 10.5120/17694-8665,
author = { Rachit Garg, Maitreyee Dutta, Ramteke Mamta G. },
title = { Threshold based Approach for Image Blind Deconvolution },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 6 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number6/17694-8665/ },
doi = { 10.5120/17694-8665 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:59.725457+05:30
%A Rachit Garg
%A Maitreyee Dutta
%A Ramteke Mamta G.
%T Threshold based Approach for Image Blind Deconvolution
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 6
%P 37-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Having attractiveness in digital cameras, the digital image processing is getting more imperative nowadays. One of the most common problems facing with digital photography is noise and blurring that needs restoration. In this paper, we present a new method for image blind deconvolution [2]. The Proposed Method employs threshold based image restoration technique in blind image deconvolution. The goal of this work is to restore the image from a noisy and blurred image where the blurring function is not known. The blur process can be formulated as the image takes convolution operation with the Gaussian noise. One of the basic blind deconvolution method is an iterative blind deconvolution method. [5], [31]. Although Iterative Blind Deconvolution method can recover the image from blurred image, it is sensitive to initial estimation and computation time required is more. In order to decrease this computation time and better visual results than Iterative blind Deconvolution, we proposed a threshold based Blind image deconvolution algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Non-Blind Blind Deconvolution PSF PSNR MSE Computation Time Threshold.

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