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  1. No Access

    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)

  3. No Access

    Article

    A Continuum Mechanical Approach to Geodesics in Shape Space

    In this paper concepts from continuum mechanics are used to define geodesic paths in the space of shapes, where shapes are implicitly described as boundary contours of objects. The proposed shape metric is der...

    Benedikt Wirth, Leah Bar, Martin Rumpf in International Journal of Computer Vision (2011)

  4. No Access

    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)

  5. No Access

    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)

  6. No Access

    Article

    Image Deblurring in the Presence of Impulsive Noise

    Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with impulsive noise. The main challen...

    Leah Bar, Nahum Kiryati, Nir Sochen in International Journal of Computer Vision (2006)

  7. No Access

    Chapter and Conference Paper

    Image Deblurring in the Presence of Salt-and-Pepper Noise

    The problem of image deblurring in the presence of salt and pepper noise is considered. Standard image deconvolution algorithms, that are designed for Gaussian noise, do not perform well in this case. Median t...

    Leah Bar, Nir Sochen, Nahum Kiryati in Scale Space and PDE Methods in Computer Vision (2005)

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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)

  9. Chapter and Conference Paper

    Variational Pairing of Image Segmentation and Blind Restoration

    Segmentation and blind restoration are both classical problems, that are known to be difficult and have attracted major research efforts. This paper shows that the two problems are tightly coupled and can be s...

    Leah Bar, Nir Sochen, Nahum Kiryati in Computer Vision - ECCV 2004 (2004)