An ultrasound image adaptive denoising method based on texture structure

To resolve the inability of the existing total variation (TV) model to effectively preserve textural information when denoising, a novel adaptive ultrasound image denoising model based on texture structure was proposed to improve it. First, the speckle characteristics of ultrasound images are described by textural information. A homogeneity value can be defined in terms of texture in medical ultrasound images, and the gray-scale domains of these ultrasound images are mapped to the homogeneity domain. Then a threshold is obtained by a two-dimensional histogram of homogeneity, and on this basis, different pixels are partitioned into the homogeneity set or the non-homogeneity set. Models with different norms are then adaptively chosen according to different sets. Extensive denoising of ultrasound images showed that the proposed model is superior to existing models.