Title :
An Algorithm for Binary Image Restoration
Author :
Zhang, Jianjun ; Wang, Kunmin ; Shang, Jijuan
Author_Institution :
Dept. of Math., Shanghai Univ., Shanghai, China
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;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6341904
