an anomalous diffusion approach for speckle noise reduction in medical ultrasound images

medical ultrasound images are usually degraded by a speci c type of noise, called speckle . the presence of speckle noise in medical ultrasound images will reduce the image quality and affect the effective information, which can potentially cause a misdiagnosis. therefore, medical image enhancement processing has been extensively studied and several denoising approaches have been introduced and developed. in the current work, a robust fractional partial differential equation (fpde) model based on the anomalous diffusion theory is proposed and used for medical ultrasound image enhancement. an efficient computational approach based on a combination of a time integration scheme and localized meshless method in a domain decomposition framework is performed to deal with the model. in order to evaluate the performance of the proposed de-speckling approach, it is used for speckle noise reduction of a synthetic ultrasound image degraded by different levels of speckle noise. the results indicate the superiority of the proposed approach in comparison with classical anisotropic diffusion denoising model (catt e s pde model).