Application of non-iterative method in digital image restoration

Author

Stojanovic, Igor ; Bogdanova, Sofija ; Bogdanov, Momcilo

Author_Institution

Fac. of Comput. Sci., Univ. Goce Delcev Stip, Stip, Macedonia

fYear

2011

fDate

16-18 June 2011

Firstpage

1

Lastpage

4

Abstract

A method for digital image restoration, based on the algorithm of Lagrange multipliers, has many practical applications. We apply the method to remove blur in an image caused by uniform linear motion. This method assumes that linear motion corresponds to an integral number of pixels. Compared to other classical methods, this method attains a higher value of the Improvement in Signal to Noise Ration (ISNR) parameter and a lower value of the Mean Square Error (MSE) parameter. Moreover, this method is more time-efficient. We give an implementation in the MATLAB programming package.

Keywords

image restoration; mean square error methods; Lagrange multiplier; MATLAB programming; digital image restoration; image blur; mean square error parameter; noniterative method; uniform linear motion; Equations; Filtering algorithms; Image restoration; Mathematical model; Optical filters; Pixel; Wiener filter; Lagrange multiplayers; deblurring; image restoration; matrix equation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on

Conference_Location

Sarajevo

ISSN

2157-8672

Print_ISBN

978-1-4577-0074-3

Type

conf

Filename

5977333