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Proceedings Paper

Despeckling algorithm on ultrasonic image using adaptive block-based singular value decomposition
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Paper Abstract

Speckle noise reduction is an important technique to enhance the quality of ultrasonic image. In this paper, a despeckling algorithm based on an adaptive block-based singular value decomposition filtering (BSVD) applied on ultrasonic images is presented. Instead of applying BSVD directly to ultrasonic image, we propose to apply BSVD on the noisy edge image version obtained from the difference between the logarithmic transformations of the original image and blur image version of its. The recovered image is performed by combining the speckle noise-free edge image with blur image version of its. Finally, exponential transformation is applied in order to get the reconstructed image. To evaluate our algorithm compared with well-know algorithms such as Lee filter, Kuan filter, Homomorphic Wiener filter, median filter and wavelet soft thresholding, four image quality measurements, which are Mean Square Error (MSE), Signal to MSE (S/MSE), Edge preservation (β), and Correlation measurement (ρ), are used. From the results, it clearly shows that the proposed algorithm outperforms other methods in terms of quantitative and subjective assessments.

Paper Details

Date Published: 28 November 2007
PDF: 9 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330J (28 November 2007); doi: 10.1117/12.755012
Show Author Affiliations
Napa Sae-Bae, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Somkait Udomhunsakul, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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