Self-adaptive image denoising based on bidimensional empirical mode decomposition (BEMD).

Abstract:

:To better analyze images with the Gaussian white noise, it is necessary to remove the noise before image processing. In this paper, we propose a self-adaptive image denoising method based on bidimensional empirical mode decomposition (BEMD). Firstly, normal probability plot confirms that 2D-IMF of Gaussian white noise images decomposed by BEMD follow the normal distribution. Secondly, energy estimation equation of the ith 2D-IMF (i=2,3,4,......) is proposed referencing that of ith IMF (i=2,3,4,......) obtained by empirical mode decomposition (EMD). Thirdly, the self-adaptive threshold of each 2D-IMF is calculated. Eventually, the algorithm of the self-adaptive image denoising method based on BEMD is described. From the practical perspective, this is applied for denoising of the magnetic resonance images (MRI) of the brain. And the results show it has a better denoising performance compared with other methods.

journal_name

Biomed Mater Eng

authors

Guo S,Luan F,Song X,Li C

doi

10.3233/BME-141143

subject

Has Abstract

pub_date

2014-01-01 00:00:00

pages

3215-22

issue

6

eissn

0959-2989

issn

1878-3619

pii

W188035Q97X45715

journal_volume

24

pub_type

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