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Chapter and Conference Paper
Blind Space-Variant Single-Image Restoration of Defocus Blur
We address the problem of blind piecewise space-variant image deblurring where only part of the image is sharp, assuming a shallow depth of field which imposes significant defocus blur.
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Chapter and Conference Paper
The Beltrami-Mumford-Shah Functional
We present in this paper a unifying generalization of the Mumford-Shah functional, in the Ambrosio-Totorelli set up, and the Beltrami framework. The generalization of the Ambrosio-Tortorelli is in using a diff...
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Chapter and Conference Paper
Geodesics in Shape Space via Variational Time Discretization
A variational approach to defining geodesics in the space of implicitly described shapes is introduced in this paper. The proposed framework is based on the time discretization of a geodesic path as a sequence...
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Chapter and Conference Paper
Restoration of Images with Piecewise Space-Variant Blur
We address the problem of space-variant image deblurring, where different parts of the image are blurred by different blur kernels. Assuming a region-wise space variant point spread function, we first solve th...
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Chapter and Conference Paper
Color Image Deblurring with Impulsive Noise
We propose a variational approach for deblurring and impulsive noise removal in multi-channel images. A robust data fidelity measure and edge preserving regularization are employed. We consider several regular...