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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.

    Leah Bar, Nir Sochen, Nahum Kiryati in Scale Space and Variational Methods in Com… (2017)

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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...

    Nir Sochen, Leah Bar in Scale Space and Variational Methods in Computer Vision (2012)

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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...

    Benedikt Wirth, Leah Bar, Martin Rumpf in Energy Minimization Methods in Computer Vi… (2009)

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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...

    Leah Bar, Nir Sochen, Nahum Kiryati in Scale Space and Variational Methods in Com… (2007)

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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...

    Leah Bar, Alexander Brook, Nir Sochen in Variational, Geometric, and Level Set Meth… (2005)