Abstract
Previously we have presented a selective image sharpening method based on the coupled nonlinear diffusion process equipped with a nonlinear diffusion term, a fidelity term and an isotropic peaking term. and it can sharpen blurred edges without increasing the noise visibility. This paper extends our method to removal of image blurs due to image motion. The motion blur is not only shift-variant but also anisotropic. To adapt our method for the motion de-blurring, we replace the isotropic peaking term of our method, with the anisotropic peaking term steered in the direction of image motion, and we devise its discrete calculus to adapt itself to motion orientation. By experiments using a test image sequence containing artificial motion blurs, we quantitatively evaluate sharpening performance. Our method using the ansotropic peaking term achieves the better performance than our prototypal method using the isotropic peaking term. and is robust to errors in motion orientation
