Deblurring of Poissonian images using BM3D frames

Aram Danielyan; Vladimir Katkovnik; Karen Egiazarian

doi:10.1117/12.893747

27 September 2011 Deblurring of Poissonian images using BM3D frames

Aram Danielyan, Vladimir Katkovnik, Karen Egiazarian

Proceedings Volume 8138, Wavelets and Sparsity XIV; 813812 (2011) https://doi.org/10.1117/12.893747
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Aram Danielyan, Vladimir Katkovnik, and Karen Egiazarian "Deblurring of Poissonian images using BM3D frames", Proc. SPIE 8138, Wavelets and Sparsity XIV, 813812 (27 September 2011); https://doi.org/10.1117/12.893747

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