Deblurring of Poissonian images using BM3D frames

被引：8

作者：

Danielyan, Aram ^{[1
]}

Katkovnik, Vladimir ^{[1
]}

Egiazarian, Karen ^{[1
]}

机构：

[1] Tampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland

来源：

WAVELETS AND SPARSITY XIV | 2011年 / 8138卷

关键词：

image reconstruction; sparsity; generalized Nash equilibrium; non-tight frames;

D O I：

10.1117/12.893747

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：7

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