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Proceedings Paper

Deblurring of Poissonian images using BM3D frames
Author(s): Aram Danielyan; Vladimir Katkovnik; Karen Egiazarian
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Paper Abstract

We propose a novel deblurring algorithm for Poissonian images. The algorithm uses data adaptive BM3D-frames for sparse image modeling. Reconstruction is formulated as a generalized Nash equilibrium problem, seeking a balance between the data fit and the complexity of the solution. Simulated experiments demonstrate numerical and visual superiority of the proposed algorithm over the current state-of-the-art methods.

Paper Details

Date Published: 27 September 2011
PDF: 7 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 813812 (27 September 2011); doi: 10.1117/12.893747
Show Author Affiliations
Aram Danielyan, Tampere Univ. of Technology (Finland)
Vladimir Katkovnik, Tampere Univ. of Technology (Finland)
Karen Egiazarian, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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