DocumentCode
1988203
Title
An Algorithm for Binary Image Restoration
Author
Zhang, Jianjun ; Wang, Kunmin ; Shang, Jijuan
Author_Institution
Dept. of Math., Shanghai Univ., Shanghai, China
fYear
2012
fDate
27-30 May 2012
Firstpage
1
Lastpage
4
Abstract
In this paper, we consider the problem to recover a blurred and noisy binary images when the point spread function (PSF) is known. By explicitly using the a priori knowledge for binary image in the constrained minimization model, we present a fast algorithm for binary image restoration. The main computation at each iteration is one Fourier transform (FFT) and one inverse fast Fourier transform (IFFT). Experimental results show that the proposed method is feasible and effective for binary image restoration.
Keywords
fast Fourier transforms; image restoration; inverse transforms; minimisation; FFT; IFFT; PSF; binary image restoration algorithm; blurred binary images; constrained minimization model; fast Fourier transform; inverse fast Fourier transform; noisy binary images; point spread function; Image restoration; Minimization; Noise; Noise level; Noise measurement; Programming; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location
Xian
Print_ISBN
978-1-4577-1965-3
Type
conf
DOI
10.1109/SCET.2012.6341904
Filename
6341904
Link To Document