Research and Optimization on BM3D Denoising Algorithm

Zi Yu Guo; Xiao Bo Zhou

doi:10.4028/www.scientific.net/AMM.644-650.3976

Paper Titles

Identification Method of Pavement Crack Based on Topology Contravariant
p.3960

Kalman Filter Processing Applications for Motion Noise
p.3964

The Error Correction Model on Kalman Filter
p.3968

Design of Digital Communication System of XCTD Based on FSK
p.3972

Research and Optimization on BM3D Denoising Algorithm
p.3976

An Approach of Traffic Sign Recognition Algorithm on MATLAB
p.3980

3D Fusion Technique Based on Wavelet Transform for 3D Dataset of Gravity and Magnetic Inversion
p.3984

An Efficient and Feasible Color-Based Technique for Object Picking
p.3988

Data Forwarding Based on Distributed-Region for Multi-Hop Infrastructure-to-Vehicle Data Delivery
p.3994

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research and Optimization on BM3D Denoising...

Research and Optimization on BM3D Denoising Algorithm

Abstract:

By grouping up the similar blocks in the picture and Collaborative Filtering, BM3D gets a good denoising effect. But denoising performance declined when the noise enhanced. A reason of poor denoising effect in strong noise was put forward in this paper. Then the denoising ability of BM3D was enhanced by optimizing the parameters.BM3D is proved superior to the traditional filtering denoising algorithm and the optimized BM3D gets a better effect than the original one in strong noise in simulation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

3976-3979

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.3976

Citation:

Cite this paper

Online since:

September 2014

Authors:

Zi Yu Guo, Xiao Bo Zhou

Keywords:

BM3D Denoising Algorithm, Image De-Noising, Optimization on BM3D

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Kostadin, Dabov. Image Denoising by Sparse 3-D Transform-Domain[J]. IEEE TRANSACTIONS ON IMAGEPROCESSING, 2007, 16(8): 2080-(2095).

DOI: 10.1109/tip.2007.901238

Google Scholar

[2] Dabov K, Foi A, Katkovnik V, et al. A nonlocal and shape-adaptive transform-domain collaborative filtering. Proceedings of International Workshop Local and Non-Local Approximation Image Processing, 2008, 179-186.

DOI: 10.1109/lnla.2009.5278404

Google Scholar

[3] Dabov K, Foi A, Katkovnik V, et al. BM3D image denoising with shape-adaptive principal component analysis. Proceedings of Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2009, 221-226.

Google Scholar

[4] Xiangle Liu, Xiangchu Feng. Image denoising by mixing wavelet transformation with sparse 3D collaborative filtering[J]. COMPUTER ENGINEERING AND APPLICATIONS, 2010, 46(16): 185-187.

Google Scholar

[5] Yingkun Hou. Research on Nonlocal Transform Domain Image Denoising and Enhancement and Their Performance Evaluation[D], Nanjin: Nanjin University of Science and Technology, (2012).

Google Scholar