Linear versus nonlinear model-based restoration of medical images corrupted with signal-dependent noise

Sunanda Mitra, C. Wettasinghe, A. Kher, S. Pemmaraju, Y. Y. Shieh, G. H. Roberson

Research output: Contribution to journalConference article

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)486-492
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2710
DOIs
StatePublished - 1996
EventMedical Imaging 1996 Image Processing - Newport Beach, CA, United States
Duration: Feb 12 1996Feb 15 1996

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