NDLI: The Split Bregman method of image decomposition model for ultrasound image denoising

Content Provider	IEEE Xplore Digital Library
Author	Guodong Wang Zhenkuan Pan Zengfang Zhao Xiaotong Sun
Copyright Year	2010
Description	Author affiliation: College of Information Engineering, Qingdao University, China (Guodong Wang; Zhenkuan Pan; Zengfang Zhao) \|\| College of Physics, Chongqing University, China (Xiaotong Sun)
Abstract	Ultrasound images are very noisy. Along with system noise, a significant noise source is the speckle phenomenon, caused by interference in the viewed object. The noise of ultrasound image was always deemed as multiplicative noise. But the multiplicative noise models are not fitting for it very well, because the noise is more complex than the simple multiplicative one. In ultrasound image, the perfect image should only contain smooth area of the organ; so we consider separate the real image from large noised image. In this paper, we use variational image decomposition method for ultrasound image denoising. The VO(Vese-Osher) model can decompose image into smooth area and the oscillating patterns, but the minimization problem must be realized through solving partial differential equations with complex finite difference scheme which leads to low efficiency. The Split Bregman method for the VO model is proposed in this paper and then we use it for ultrasound image denoising.
Starting Page	644
Ending Page	647
File Size	873978
Page Count	4
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5640043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging denoise Noise Speckle Minimization Image decomposition ultrasound image Mathematical model Split Bregman method image decomposition Image denoising
Content Type	Text
Resource Type	Article

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