A spatio-chromatic ICA based noise reduction in color images

International Journal of Innovative Computing, Information and Control

Volumn 4, Issue 3, 2008, Pages 661-669

  Han, Xian Hua ^a   Chen, Yen Wei ^b   Lei, Jian Mei ^c  

^a CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY   (China)

^b RITSUMEIKAN UNIVERSITY   (Japan)

^c CHONGQING UNIVERSITY   (China)

Author keywords

Independent component analysis; Noisy color images; Shrinkage function; Spatio chromatic space

Indexed keywords

EID: 63649132916     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. J. Astola, P. Haavisto and Y. Nuevo, Vector median filters, Proc. of the IEEE, vol.78, no.4, pp.678- 689, 1990.
2. P. Trahanias and V. Venetsanopoulos, Vector directional filters - A new class of multichannel image processing filters, IEEE Trans. Image Processing, vol.2, no.4, pp.528-534, 1993.
3. P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion, IEEE Trans. Pattern Anal. Machine Intell., vol.12, no.7:629C639, 1990.
4. J. Weickert, A review of nonlinear diffusion filtering, In B. t. H. Romeny, L. Florack, J. Koenderink and M. Viergever, Scale-space theory in computer vision, Lecture Notes in Computer Science, vol.1252, pp.3-28, Springer-Verlag, 1997.
5. B. ter Haar Romeny, Geometry-driven diffusion in computer vision, Kluwer Academic Publishers, 1994.
6. D. J. Field, Relations between the statistics of natural images and the response properties of cortical cells, J. Opt. Soc. Am., A, vol.4, pp.2379-2394, 1987.
7. H. B. Barlow, Unsupervised learning, Neural Computation, vol.l, pp.295-311, 1989.
8. B. A. Olshausen and D. J. Field, Emergence of simplecell receptive field properties by learning a sparse code for natural images, Nature, vol.381, pρ.607-609, 1996.
9. A. J. Bell and T. J. Sejnowski, The independent components of natural scenes are edge filters, Vision Research, pp.3327-3338, 1997.
10. G. Bauchsbaum and A. Gottschalk, Trichromacy, opponent colours coding and optimum colour information in the retina, Proc. R. Soc. Lond., B220, pp.89-113,1983.
11. J. J. Atick and A. N. Redlich, What does the retina know about natural scenes?, Neural Computation, vol.4, pp.196-210, 1992.
12. D. Wooden and M. Egerstedt, Quantized principal component analysis with applications to lowbandwidth image compression and communication, International Journal of Innovative Computing, Information and Control, vol.l, no.3, pp.479-492, 2005.
13. J.-X. Zhang, Y.-W. Chen and Z. Nakao, Independent component analysis for classification of remotely sensed images, International Journal of Innovative Computing, Information and Control, vol.2, no.3, pp.659-666, 2006.
14. A. Hyvarinen, J. Karhunen and E. Oja, Independent Component Analysis, Wiley-Interscience, 2001.
15. A. Hyvarinen and E. Oja, Independent component analysis: Algorithms and applications, Neural Networks, vol.13, no.4, pp.411-430, 2000.
16. A. J. Bell and T. J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, vol.7, pp.1129-1159, 1995.
17. A. J. Bell and T. J. Sejnowski, The 'Independent Components' of natural scenes are edge filters, Vision Research, vol.37, pp.3327-3338, 1997.
18. D. L. Donoho, De-noising by soft-thresholding, IEEE Trans. Inform. Theory, vol.41, no.3, pp.613- 627, 1995.
19. X.-H. Han, Y.-W. Chen and Z. Nakao, An ICA-based method for poisson noise reduction, Lecture Notes in Artificial Intelligence, LNAI 2773, Springer, pp.1449-1454, 2003.
20. X.-H. Han, Y.-W. Chen and Z. Nakao, Robust edge detection by independent component analysis in noisy images, IEICE Trans. Inf. & Syst, vol.E87-D, no.9, pp.2204-2211, 2004.
21. X.-H. Han, Z. Nakao and Y.-W. Chen, On shrinkage-based edge detection in a PCA subspace for penumbral imaging, International Journal of Innovative Computing, Information and Control, vol.2, no.l, pp.153-166, 2006
22. R. D. Nowak, Optimal signal estimation using cross-validation, IEEE Signal Processing Letters, vol.3, no.2, pp.23-25, 1996.
23. A. Hyvarinen, E. Oja and P. Hoyer, Image denoising by sparse code shrinkage, in Intelligent Signal Processing, S. Haykin and B. Kosko (eds.), IEEE Press, 2000.