Motion De-blurring by Coupled Nonlinear Diffusion using an Anisotropic Peaking Term

T. Saito, H. Harada, and T. Komatsu (Japan)


Image manipulation and compression, image enhancement, nonlinear diffusion, nonlinear filtering, iterative algorithm, motion blur


Previously we have presented a selective image sharpening method based on the coupled nonlinear diffusion process composed of a nonlinear diffusion term, a fidelity term and an isotropic peaking term, and it can sharpen only 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-blur ring, we replace the isotropic peaking term of our method, with the anisotropic peaking term steered to a motion direc tion of each pixel, and we devise its discrete calculus to adapt itself to the motion direction. By experiments using test image sequences containing artificial motion blurs, we quantitatively evaluate sharpening performance. Our new method using the anisotropic peaking term achieves the better performance than our prototypal method using the isotropic peaking term, and is robust to errors in estimation of motion directions.

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