Abstract:

To effectively preserve synthetic aperture radar (SAR) image edges while filtering, an anisotropic diffusion  denoising model based on Euler’s elastic energy model is presented. First, a minimum-energy variation model is derived from the anisotropic diffusion model. To preserve the image details while filtering, the Euler’s elastic energy model is  introduced. Then an adaptive step-size iteration scheme is proposed to improve the computational efficiency. The new algorithm using both simulated and real SAR images is validated. The experimental results show that the proposed method not only preserves image details effectively while filtering, but  also improves the computational efficiency.