New PDF release: Image Processing Based on Partial Differential Equations:

By Xue-Cheng Tai, Knut-Andreas Lie, Tony F. Chan, Stanley Osher

ISBN-10: 3642069908

ISBN-13: 9783642069901

This booklet publishes a suite of unique clinical examine articles that tackle the state-of-art in utilizing partial differential equations for photograph and sign processing. insurance comprises: point set equipment for photo segmentation and building, denoising innovations, electronic picture inpainting, photograph dejittering, snapshot registration, and quick numerical algorithms for fixing those difficulties.

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Extra resources for Image Processing Based on Partial Differential Equations: Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse ... 8-12, 2005 (Mathematics and Visualization)

Example text

44(2):131–161, 2001. 25. L. A. Vese and S. J. Osher. Modeling textures with Total Variation minimization and oscillating patterns in image processing. J. Sci. , 19(1-3):553–572, 2003. 26. C. Vogel. Computational Methods for Inverse Problems. SIAM, Philadelphia, 2002. 27. J. Weickert. Anisotropic Diffusion in Image Processing. Teubner-Verlag, Stuttgart, Germany, 1998. 28. S. C. Zhu, Y. N. Wu, and D. Mumford. Minimax entropy principle and its applications to texture modeling. , 9:1627–1660, 1997.

Caselles and C. Ballester, Image Inpainting, Tech. Report, ECE-University of Minnesota, 1999. 2. E. Cand`es, and F. Guo. ), 2001. 3. E. Cand`es, J. Romberg and T. GM/0409186, Sept. 2004. Error Analysis for H 1 Based Wavelet Interpolations 33 4. E. Cand`es, and T. Tao, Near Optimal Signal Recovery From Random Projections and Universal Encoding Strategies, Preprint, submitted to IEEE Information Theory, Oct. 2004. 5. A. Chambolle, R. A. -Y. Lee, and B. J. Lucier. Nonlinear wavelet image processing: variational problems, compression and noise removal through wavelet shrinkage.

11. T. F. Chan and H. M. Zhou, Total Variation Wavelet Thresholding, submitted to J. Comp. Phys.. 12. T. F. Chan and H. M. Zhou, Optimal Constructions of Wavelet Coefficients Using Total Variation Regularization in Image Compression, CAM Report, No. 00-27, Dept. , UCLA, July 2000. 13. C. K. Chui, Wavelet: A Mathematical Tool for Signal Analysis, SIAM, 1997. 14. C. K. Chui and J. Wang, Wavelet-based Minimal-Energy Approach to Image Restoration, submitted to ACHA. 15. I. Daubechies. Ten lectures on wavelets.

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Image Processing Based on Partial Differential Equations: Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse ... 8-12, 2005 (Mathematics and Visualization) by Xue-Cheng Tai, Knut-Andreas Lie, Tony F. Chan, Stanley Osher


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