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

doi:10.1117/12.237951

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

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	486-492
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2710
DOIs	https://doi.org/10.1117/12.237951
State	Published - 1996
Event	Medical Imaging 1996 Image Processing - Newport Beach, CA, United States Duration: Feb 12 1996 → Feb 15 1996

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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.",

author = "Sunanda Mitra and C. Wettasinghe and A. Kher and S. Pemmaraju and Shieh, {Y. Y.} and Roberson, {G. H.}",

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AU - Wettasinghe, C.

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AU - Pemmaraju, S.

AU - Shieh, Y. Y.

AU - Roberson, G. H.

PY - 1996

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N2 - 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.

AB - 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.

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JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Medical Imaging 1996 Image Processing

Y2 - 12 February 1996 through 15 February 1996

ER -

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

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