An Algorithm for Binary Image Restoration
Jianjun Zhang, Kunmin Wang, Jijuan Shang · 2012
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.