articleIEEE Transactions on Image ProcessingNov 22, 2011GREEN OA

BM3D Frames and Variational Image Deblurring

ADA. DanielyanVKV. KatkovnikKEK. Egiazarian

Tampere University · Tampere University

PubMed
Indexed inarxivcrossrefpubmed

Abstract

A family of the block matching 3-D (BM3D) algorithms for various imaging problems has been recently proposed within the framework of nonlocal patchwise image modeling , . In this paper, we construct analysis and synthesis frames, formalizing BM3D image modeling, and use these frames to develop novel iterative deblurring algorithms. We consider two different formulations of the deblurring problem, i.e., one given by the minimization of the single-objective function and another based on the generalized Nash equilibrium (GNE) balance of two objective functions. The latter results in the algorithm where deblurring and denoising operations are decoupled. The convergence of the developed algorithms is proved.…

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593
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Authors

3
  • AD
    A. DanielyanCorresponding

    Tampere University

  • VK
    V. Katkovnik

    Tampere University, Tampere University

  • KE
    K. Egiazarian

    Tampere University, Tampere University

Topics & keywords

Keywords
  • Deblurring
  • Image restoration
  • Convergence (economics)
  • Image (mathematics)
  • Minification
  • Block (permutation group theory)
  • Image processing
  • Noise reduction
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