A Classic Anisotropic Diffusion Equation Algorithm for SAR Image Speckle Noise Suppression

This is a classical algorithm based on the anisotropic diffusion equation, designed for suppressing speckle noise in SAR images. The algorithm is highly practical and delivers outstanding results, requiring no additional modifications for immediate implementation. By employing this algorithm, you can significantly enhance image quality while minimizing noise interference. The method leverages the principles of anisotropic diffusion, which effectively removes speckle noise from images through controlled diffusion processes that preserve important edge information. The implementation typically involves solving partial differential equations using finite difference methods, with diffusion coefficients adjusted based on local image gradients to prevent edge blurring. Whether you're a professional in image processing or a beginner interested in the field, this algorithm serves as a valuable tool that can help achieve superior results in image processing applications. Key components include gradient computation, diffusion coefficient calculation, and iterative updating of pixel values using explicit or semi-implicit numerical schemes.