MATLAB Implementation of Anisotropic Diffusion Algorithm

This MATLAB package implements anisotropic diffusion simulation with comprehensive functionality for image processing tasks. The implementation utilizes Perona-Malik diffusion equations with adjustable conduction coefficients, allowing users to control diffusion behavior based on local image gradients. The package includes parameter configuration for diffusion iteration count, time step size, and gradient modulus threshold (K value). Users can customize these parameters through structured input arguments or configuration files. The core algorithm employs finite difference methods for discrete implementation, with optimized convolution operations for efficient gradient calculation. The code structure separates diffusion kernel computation from iteration control, enabling modular customization. Through practical testing, the package demonstrates stable performance in noise reduction while preserving image edges. Users can study anisotropic diffusion characteristics by modifying conductivity functions and observing diffusion patterns across different image regions. The implementation supports both grayscale and color image processing with appropriate channel handling mechanisms.