BM3D Frames and Variational Image Deblurring
Tampere University · Tampere University
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.…
Citation impact
- FWCI
- 13.87
- Percentile
- 100%
- References
- 23
Authors
3- ADA. DanielyanCorresponding
Tampere University
- VKV. Katkovnik
Tampere University, Tampere University
- KEK. Egiazarian
Tampere University, Tampere University
Topics & keywords
- Deblurring
- Image restoration
- Convergence (economics)
- Image (mathematics)
- Minification
- Block (permutation group theory)
- Image processing
- Noise reduction