A New Approach of Image denosie Based on The Steerable Pyramid Wavelet

DOI

10.2991/icmse-15.2015.65How to use a DOI?

Keywords

non-local means; wavlet ;image denoise; Steerable Pyramid

Abstract

In this paper, we proposed a new method which exploit the generalized Gaussian distribution (GCD) as the modeling of the sub-band coefficients and estimate the parameter corresponding. We use the generalized non-local means expression and propose an generalized non-local means algorithm based on the steerable pyramid and GGD. Simulation results show the performance of the proposed methods have better visual and in terms of the peak mean squared error. Steerable Pyramid is a flexible wavelet decomposition method. The statistics of the wavelet coefficients is non-Gaussian, which follow the generalized Gaussian distribution (GGD).

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Yin
AU  - Liwei Wang
PY  - 2015/12
DA  - 2015/12
TI  - A New Approach of Image denosie Based on The Steerable Pyramid Wavelet
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 353
EP  - 357
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.65
DO  - 10.2991/icmse-15.2015.65
ID  - Yin2015/12
ER  -