Adding a noise component to a color decomposition model for improving color texture extraction

Society for Imaging Science and Technology - 4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science, CGIV 2008/MCS'08

Volumn , Issue , 2008, Pages 394-398

  Dubois, Sloven ^a,b   Lugiez, Mathieu ^b   Peteri, Renaud ^a   Menard, Michel ^b  

^a Pôle Sciences et Technologies   (France)

^b UNIVERSITY OF LA ROCHELLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR DECOMPOSITION; COLOR IMAGES; COLOR TEXTURES; DECOMPOSITION MODEL; GRAY-SCALE IMAGES; IMAGE DECOMPOSITION; NOISE COMPONENTS; TEXTURE COMPONENTS; THREE COMPONENT; TWO-COMPONENT;

TEXTURES;

COLOR;

EID: 70349970383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. J-F. Aujol and A. Chambolle, Dual norms and image decomposition models, International Journal of Computer Vision, volume 63, number 1, pages 85-104, June 2005.
2. J-F. Aujol and S. Ha Kang, Color image decomposition and restoration. Journal of Visual Communication and Image Representation, volume 17, number 4, pages 916-928, August 2006.
3. A. Chambolle, An algorithm for Total Variation Minimization ans applications, Journal of Mathematical Imaging and Vision 20 (2004) 89-97.
4. T.F. Chan, S. Ha Kang and J. Shen, Total variation denois- ing and enhancement of color images based on the CB and HSV color models.
5. T.F. Chan, S. Osher and J. Shen, The digital TV filter and nonlinear denoising, IEEE Transactions on image processing, 10:231-241,2001.
6. D. Chetverikov and R. Péteri, A brief survey of dynamic texture description and recognition, Proceedings of 4th In- ternational Conference on Computer Recognition Systems CORES'05, Advances in Soft Computing, Springer-Verlag, pp. 17-26, Rydzyna, Poland, 2005.
7. G. Gerig, O. Kubler, R. Kikinis and F. Jolesz, Nonlinear anisotropic filtering of MR! data, IEEE Transactions on Medical Imaging, 11:221-232, 1992.
8. Y. Meyer, Oscillating patterns in image processing and nonlinear evolution equations. The fifteenth dean Jacqueline B. Lewis Memorial Lectures, Vol.22 of University Lecture Series, AMS, Providence, 2001.
9. J-L. Starck, M. ELad, D. Donoho, Image Decomposition via the Combination of Sparse Representation and Varia- tionnal Approach, IEEE Trans. Image Process, 2005.
10. G. Steidl, J. Weickert, T. Brox, P. Mrzek, and M. Welk, On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and sides. Tech. Rep. 26, Department of Mathematics, University of Bremen, Germany, 2003.
11. J. Weickert, G. Steidl, P. Mrazek, M. Welk and T. Brox, Diffusion filters and wavelets: What can they learn from each other?,Chapter 1 of "Handbook of Mathematical Models in Computer Vision".
12. M. Welk, J. Weickert, G. Steidl, A Four-Pixel Scheme for Singular Differential Equations, Scale Space 05 (610-621).