Hybrid diffusion-steered model for suppressing multiplicative-noise in ultrasonograms

This folder contains a hybrid model for multiplicative noise removal based on anisotropic diffusion

We have proposed a diffusion-steered model that gives an effective interplay between total variation and Perona-Malik models. Two parameters have been introduced into the framework to convexify our energy functional. Also, to deal with multiplicative noise, we have incorporated a log-based prior into the framework. Empirical results show that the proposed method generates sharper and detailed images. Even more importantly, our framework can be evolved over a longer time without smudging critical image features.