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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)...
The problem we will consider in this paper is binary image restoration. It is, in essence, difficult to solve because of the combinatorial nature of the problem. To overcome this difficulty, we propose a new minimization model by making use of a new variable to enforce the image to be binary. Based on the proposed minimization model, we present a fast alternating minimization algorithm for binary...
Image restoration is an ill-posed inverse problem, which has introduced the regularization method to suppress over-amplification. In this paper, by explicitly using the a priori knowledge for bi-level images, we propose a new regularization method for bi-level image restoration. Unlike the well known Tikhonov regularization method which eventually results in a linear system of equations, the new regularization...
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