We study two scenarios of limited-angle binary tomography with data distorted with an unknown convolution: Either the projection data are taken from a ...

We study two scenarios of limited-angle binary tomography with data distorted with an unknown convolution: Either the projec- tion data are taken from a blurred ...

We study two scenarios of limited-angle binary tomography with data distorted with an unknown convolution: Either the projection data are taken from a ...

We study two scenarios of limited-angle binary tomography with data distorted with an unknown convolution: Either the projection data are taken from a ...

Experimental results show that the resulting approach is able to cope with both ill-posed problems, limited-angle reconstruction and deblurring, simultaneously.

In this paper, we propose an efficient deblurring method for 2D barcode image focusing on linear motion blur in manufacturing situations.

We present an effective blind image deblurring method based on a data-driven discriminative prior. Our work is motivated by the fact that a good image prior ...

We rapidly open and close the shutter using a pseudo-random binary sequence during the exposure time so that the motion blur itself retains de- codable details ...

In this paper, we address the problem of binary image reconstruction for X-ray CT imaging from a small number of projections. ... The binary tomography problem is ...

In this paper, we propose a new blind deblurring method based on the content-weighted data fidelity term, which can focus more on the sharp edge to restore ...