A Modified effective image restoration algorithm using an effective kernel matrix and smoothing parameter

Author

Kopperundevi, N. ; SureshKumar, S.

Author_Institution

Vivekanandha Coll. of Technol. for Women, Tiruchengode, India

fYear

2012

fDate

27-29 Dec. 2012

Firstpage

1

Lastpage

3

Abstract

Restoration of images has become a major stream in the digital image processing. Restoring blurred images for effective information retrieval and feature extraction has been focused by researchers worldwide. The Simulink model of an iterative algorithm has been presented in this paper. Restoration has been achieved iterative filtering approach followed by a contrast enhancement module. The images are blurred using mean blurring function with BSNR of 100. The performances are estimated using objective function and PSNR. The obtained value of the PSNR is about 6.25.

Keywords

feature extraction; image restoration; image retrieval; iterative methods; matrix algebra; smoothing methods; BSNR; PSNR; blurred images; contrast enhancement module; digital image processing; effective kernel matrix; feature extraction; information retrieval; iterative algorithm; iterative filtering approach; mean blurring function; modified effective image restoration algorithm; smoothing parameter; Maximization; PSNR; Wavelet; convergence; objective function;

fLanguage

English

Publisher

iet

Conference_Titel

Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on

Conference_Location

Tiruchengode

Electronic_ISBN

978-1-84919-797-7

Type

conf

DOI

10.1049/cp.2012.2198

Filename

6719104