Affiliation:
1. Chongqing University of Technology
2. East China Normal University
Abstract
In this paper, we firstly introduce the limitation and deficiency of L1-norm and L2-norm in deblurring and denoising and the merit of quasi-robust function. Then, we propose a new blind deblurring model using multiple color images. Finally, we give some simulations and the results show the effect of our new model for color degraded images. To see how well our algorithm compared against the non-blind deblurring model.
Publisher
Trans Tech Publications, Ltd.
Reference13 articles.
1. L. Bar, A. Brook, N. Sochen and N. Kiryati, Color Image Deblurring with Impulsive Noise, Proc. VLSM 2005, Beijing, China, LNCS 3752, pp.49-60.
2. L. Bar, N. Sochen and N. Kiryati, Image Deblurring in the Presence of Impulsive Noise, International Journal of Computer Vision, 2006, 70(3), pp.279-298.
3. D. Barash, One-step deblurring and denoising color images using partial differential equations, in First SIAM Conference on Imaging. Science, Boston, MA, (2002).
4. P. Blomgren, T. Chan, Color TV: total variation methods for restoration of vector-valued images. IEEE Trans. Image Processing, 1998, 7 , pp.304-330.
5. T. Chan, C. wong, Total variation blind deconvolution, IEEE Trans. on Image Processing, 1998, 17(3), pp.370-375.
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