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Scale Space and Variational Methods in Computer Vision

Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 -- June 2, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Alfred M. Bruckstein

    1. Computer Science Department, Technion — Israel Institute of Technology, Haifa, Israel

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  2. Bart M. Haar Romeny

    1. Department of Biomedical Engineering, Biomedical Image Analysis and Interpretation, Eindhoven University of Technology, Eindhoven, The Netherlands

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  3. Alexander M. Bronstein

    1. Faculaty of Engineering, School of Electrical Engineering, Tel Aviv University, Israel

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  4. Michael M. Bronstein

    1. Institute of Computationa Science, Faculty of Informatics SI-109, Università della Svizzera Italiana, Lugano, Switzerland

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  • High quality selected papers
  • Unique visibility
  • State of the art research

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6667)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: SSVM 2011.

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Table of contents (66 papers)

  1. Front Matter

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  2. Denoising and Enhancement (O1 and O5)

    1. Fiber Enhancement in Diffusion-Weighted MRI

      • Remco Duits, Tom C. J. Dela Haije, Arpan Ghosh, Eric Creusen, Anna Vilanova, Bart ter Haar Romeny
      Pages 1-13

    2. Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI

      • Eric J. Creusen, Remco Duits, Tom C. J. Dela Haije
      Pages 14-25

    3. Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting

      • Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Daniel Johannsen, Frank Neumann et al.
      Pages 26-37

    4. Nonlocal Surface Fairing

      • Serena Morigi, Marco Rucci, Fiorella Sgallari
      Pages 38-49

    5. Nonlocal Filters for Removing Multiplicative Noise

      • Tanja Teuber, Annika Lang
      Pages 50-61

    6. Volumetric Nonlinear Anisotropic Diffusion on GPUs

      • Andreas Schwarzkopf, Thomas Kalbe, Chandrajit Bajaj, Arjan Kuijper, Michael Goesele
      Pages 62-73

    7. A Statistical Multiresolution Strategy for Image Reconstruction

      • Klaus Frick, Philipp Marnitz
      Pages 74-85

    8. A Variational Approach for Exact Histogram Specification

      • Raymond Chan, Mila Nikolova, You-Wei Wen
      Pages 86-97

    9. Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy

      • Sebastian Bauer, Benjamin Berkels, Joachim Hornegger, Martin Rumpf
      Pages 98-109

    10. Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization

      • Mila Nikolova
      Pages 110-121

    11. A Study on Convex Optimization Approaches to Image Fusion

      • Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov
      Pages 122-133

    12. Efficient Beltrami Flow in Patch-Space

      • Aaron Wetzler, Ron Kimmel
      Pages 134-143

    13. A Fast Augmented Lagrangian Method for Euler’s Elastica Model

      • Yuping Duan, Yu Wang, Xue-Cheng Tai, Jooyoung Hahn
      Pages 144-156

    14. Deblurring Space-Variant Blur by Adding Noisy Image

      • Iftach Klapp, Nir Sochen, David Mendlovic
      Pages 157-168

    15. Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction

      • Jooyoung Hahn, Ginmo J. Chung, Yu Wang, Xue-Cheng Tai
      Pages 169-182

    16. The Beltrami-Mumford-Shah Functional

      • Nir Sochen, Leah Bar
      Pages 183-193

    17. An Adaptive Norm Algorithm for Image Restoration

      • Daniele Bertaccini, Raymond H. Chan, Serena Morigi, Fiorella Sgallari
      Pages 194-205

    18. Variational Image Denoising with Adaptive Constraint Sets

      • Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
      Pages 206-217

    19. Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization

      • Jun Liu, Xue-cheng Tai, Haiyang Huang, Zhongdan Huan
      Pages 218-230
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  1. Scale Space and Variational Methods in Computer Vision

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011.
The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.

Editors and Affiliations

  • Computer Science Department, Technion — Israel Institute of Technology, Haifa, Israel

    Alfred M. Bruckstein

  • Department of Biomedical Engineering, Biomedical Image Analysis and Interpretation, Eindhoven University of Technology, Eindhoven, The Netherlands

    Bart M. Haar Romeny

  • Faculaty of Engineering, School of Electrical Engineering, Tel Aviv University, Israel

    Alexander M. Bronstein

  • Institute of Computationa Science, Faculty of Informatics SI-109, Università della Svizzera Italiana, Lugano, Switzerland

    Michael M. Bronstein

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