Ultrasound image denoising using backward diffusion and framelet regularization
We propose a new model of ultrasound image denoising using backward diffusion and framelet regularization. The fidelity term is deduced by using Maximum a Posteriori of the Rayleigh distribution of the noise. The introduction of framelet regularization can remove noise and preserve edges in multiscale framework. The Split Bregman algorithm is designed to simplify the minimization problem of the proposed model.
ultrasound image image denoising backward diffusion framelet regularization multiplicative noise