Half Gaussian Kernels Based Shock Filter for Image Deblurring and Regularization
Résumé
In this paper, a shock-diffusion model is presented to restore both blurred and noisy image. The proposed approach uses a half smoothing kernel to get the precise edge directions, and use different shock-diffusion strategies for different image regions. Experiment results on real images show that the proposed model can ef- fectively eliminate noise and enhance edges while preserving small objects and corners simultaneously. Com- pared to other approaches, the proposed method offers both better visual results and qualitative measurements.
Domaines
Traitement des images [eess.IV]
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Half_Gaussian_Kernels_Based_Shock_Filter_for_Image_Deblurring_and_Regularization_VISAPP_2013.pdf (5.37 Mo)
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