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Proceedings Paper

Ultrasound image despeckling based on MMSE estimation in nonsubsampled contourlet domain
Author(s): Sheng Yan; Jianping Yuan; Chaohuan Hou
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Paper Abstract

To suppress speckle noise and preserve edges information in ultrasound images, the nonsubsampled contourlet transform (NSCT) is applied to decompose the ultrasound image into NSCT subbands. The multiplicative speckle noises in NSCT high frequency subbands can be expressed in additive forms. A thresholding method is applied to extract and preserve strong edge coefficients in each NSCT subband. Then a Bayesian minimum mean square error (MMSE) criterion based equation is achieved to despeckle other NSCT coefficients. Last the despeckled image is reconstructed by the inverse NSCT transformation. The experimental results of synthetic speckle and clinical ultrasound images show that the proposed method outperforms several ultrasound image despeckling methods in terms of speckle reduction and edge preservation indices.

Paper Details

Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342M (8 June 2012); doi: 10.1117/12.956434
Show Author Affiliations
Sheng Yan, Institute of Acoustics (China)
Jianping Yuan, Institute of Acoustics (China)
Chaohuan Hou, Institute of Acoustics (China)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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