Anisotropic Adaptive Method for Ultrasound Image Denoising and Edge Enhancement

Based on the research paper "Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement", we have developed an anisotropic adaptive method for ultrasound image processing. In our implementation, we introduced a new parameter m to further optimize the image processing performance. This method employs anisotropic diffusion algorithms with adaptive conductance functions that can effectively reduce noise while preserving and enhancing edge details. The core algorithm involves calculating gradient magnitude thresholds and adapting diffusion coefficients based on local image characteristics. Our code implementation includes functions for parameter optimization, edge detection, and iterative diffusion processes. Through reference and study of this paper, we gained deeper understanding of image processing techniques and successfully applied them in our research, achieving significant improvements in image quality and visual enhancement. The method demonstrates robust performance in maintaining structural details while eliminating ultrasound-specific artifacts.