Recursive anisotropic diffusion denoising

A recursive anisotropic diffusion algorithm for image denoising is proposed. Adopting the conventional anisotropic diffusion model, extending it to a recursive model leads to better noise removal with the same parameters, and equivalent or improved results with fewer iterations is showed. The reduction in the number of iterations leads to better edge preservation is also demonstrated. Visual and objective performance evaluations both show superior results compared with the classical model. Furthermore, tests on real medical images show successful noise removal with good edge preservation.