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Speckle noise reduction of ultrasound images using M-band wavelet transform and wiener filter in a homomorphic framework

Vosoughi, A ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/BMEI.2008.299
  3. Publisher: 2008
  4. Abstract:
  5. In this paper we make use of M-band discrete wavelet transform (MDWT) and Wiener filter for speckle noise suppression of ultrasound images. Assuming multiplicative model for speckle noise, by applying logarithmic transform to noisy observation we convert multiplicative noise to additive one. Then, speckle noise can be reduced by taking the M-band wavelet transform of log-transformed observation and employing an adaptive thresholding technique. In order to improve the performance of this denosing approach, we propose a preprocessing stage which exploits Wiener filtering. Through this stage logtransformed observation is separated into two images and then each of these two images is denoised individually in M-band wavelet transform domain. The summation of these two images constructs the despeckled image. We have tested our method on realistic ultrasound images and compared the results with results of other speckle suppression methods. © 2008 IEEE
  6. Keywords:
  7. Acoustic waves ; Adaptive filtering ; Biomedical engineering ; Biophysics ; Discrete wavelet transforms ; Polarization ; Ultrasonic applications ; Ultrasonic imaging ; Ultrasonics ; Wave filters ; Wavelet transforms ; Informatics ; Speckle noises ; Image enhancement
  8. Source: 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, Sanya, Hainan, 27 May 2008 through 30 May 2008 ; Volume 2 , 2008 , Pages 510-515 ; 9780769531182 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4549226