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 Engjournal_title
Bio-medical materials and engineeringauthors
Guo S,Luan F,Song X,Li Cdoi
10.3233/BME-141143subject
Has Abstractpub_date
2014-01-01 00:00:00pages
3215-22issue
6eissn
0959-2989issn
1878-3619pii
W188035Q97X45715journal_volume
24pub_type
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