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Proceedings Paper

Linear versus nonlinear model-based restoration of medical images corrupted with signal-dependent noise
Author(s): Sunanda Mitra; Chintanie Wettasinghe; A. Kher; Suryalakshmi Pemmaraju; Yao-Yang Shieh; Glenn H. Roberson
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Paper Abstract

Due to coherent imaging techniques employed in medical imaging such as ultrasound imaging, signal dependent speckle noise appears as granular noise that is difficult to remove without blurring the image details. Considerable efforts have been spent to design systems with improved resolution and reduced speckle noise. This study investigates the effect of recently developed nonlinear and linear filtering techniques in restoring medical images corrupted with speckle noise. Preliminary results demonstrate that a class of nonlinear filters based on mathematical morphology outperforms linear wavelet filters and a simple nonlinear median filter in removing speckle noise.

Paper Details

Date Published: 16 April 1996
PDF: 7 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237951
Show Author Affiliations
Sunanda Mitra, Texas Tech Univ. (United States)
Chintanie Wettasinghe, Texas Tech Univ. (United States)
A. Kher, Texas Tech Univ. (United States)
Suryalakshmi Pemmaraju, Texas Tech Univ. (United States)
Yao-Yang Shieh, Health Sciences Ctr./Texas Tech Univ. (United States)
Glenn H. Roberson, Health Sciences Ctr./Texas Tech Univ. (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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