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

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.