A De-Noising Method for Medical Ultrasonic Image Based on ROF Decomposition and Adaptive Wavelet Threshold

Xiong Zhou; Yun Feng Xia; Xiao Li

doi:10.4028/www.scientific.net/AMM.148-149.625

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 148-149A De-Noising Method for Medical Ultrasonic Image...

A De-Noising Method for Medical Ultrasonic Image Based on ROF Decomposition and Adaptive Wavelet Threshold

Abstract:

There are always lots of speckle noises in medical ultrasonic images because of the imaging mechanism of it. These speckle noises significantly reduce the clarity of the image and as a result, cause great difficulties in ultrasound diagnosis. To solve this problem, this paper presents a new de-noising method for medical ultrasonic image based on ROF model and adaptive wavelet threshold de-noising method. In addition to inhibiting the speckle noises in the medical ultrasonic image, this method can retain and even enhance the image detail information as much as possible.

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Periodical:

Applied Mechanics and Materials (Volumes 148-149)

Pages:

625-631

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.148-149.625

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Online since:

December 2011

Authors:

Xiong Zhou, Yun Feng Xia, Xiao Li

Keywords:

Adaptive Wavelet Threshold, Frame Correlation, GPC, ROF Model, Speckle Noise

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