UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREM06016


Registration ID:
306054

Page Number

92-103

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Title

Improvement in PSF Estimation Accuracy in Blind Image Restoration using PSO

Authors

Abstract

An image can convey lots of information about the picture quality. Picture quality is the most notable and distinctive feature of the image providing an information in the specified area. An image can also be identified by its pixel range, shape, of an image but level information retrieval is very high in case of the restoration. Image restoration is a key aspect related to image processing generally categorized as verification and identification or (recognition). Motion blur, out of focus, camera shake are some common distractions to human appearance becoming the pitfall for the image restoration system. For the realization of image restoration systems, one of the well-known feature extraction methods is Blur Stein’s Unbiased Risk Estimation (SURE). This method is based on Point Spread Function (PSF) estimation. This method is a filtered version to calculate the PSF from the degraded image. Blur SURE method is usually envisaged as wiener filtering process. It minimized the blur MSE and then applies blur-SURE estimation over blur MSE. To enhance result for point spread function here particle swarm optimization technique is used. For the estimation of the PSF, particle positions are calculated by the PSO. Parametric form of the gaussian kernel is used for the estimation of function. When these parameters are calculated then PSF estimation is done. SURE LET deconvolution is used for the whole process with particle swarm optimization is done for deconvolution process of blind and non blind.

Key Words

Image restoration, Blind Image, Deconvolution, PSF, PSO

Cite This Article

"Improvement in PSF Estimation Accuracy in Blind Image Restoration using PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.92-103, February-2019, Available :http://www.jetir.org/papers/JETIREM06016.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Improvement in PSF Estimation Accuracy in Blind Image Restoration using PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp92-103, February-2019, Available at : http://www.jetir.org/papers/JETIREM06016.pdf

Publication Details

Published Paper ID: JETIREM06016
Registration ID: 306054
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 92-103
Country: Jalandhar, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162


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