IMAGE DENOISING THROUGH SELF-ORGANIZING FEATURE MAP BASED ON NEIGHBOURING WAVELET COEFFICIENTS

Jianxin Dai (P. R. China) and Zhixin Li (P. R. China)

Received January 21, 2008

References:

[1] T. D. Bui and G. Y. Chen, Translation invariant denoising using multiwavelets, IEEE Trans. Signal Process. 46 (1998), 3414-3420. [2] T. T. Cai and B. W. Silverman, Incorporating information on neighbouring coefficients into wavelet estimation, Sankhya: Indian J. Stat. Ser. B 63 (2001), 127-148. [3] S. Carrato, Image vector quantization using ordered codebooks: properties and applications, Signal Processing 40 (1994), 87-103. [4] G. Y. Chen, T. D. Bui and A. Krzyzak, Image denoising using neighbouring wavelet coefficients, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Canada, 2004, pp. 917-920. [5] R. R. Coifman and D. L. Donoho, Translation invariant denoising, wavelets and statistics, Springer Lecture Notes in Statistics 103, Springer-Verlag, New York, 1994, pp. 125-150. [6] M. S. Crouse, R. D. Nowak and R. G. Baraniuk, Wavelet-based statistical signal processing using hidden Markov models, IEEE Trans. Signal Process. 46 (1998), 886-902. [7] D. L. Donoho, Denoising by soft-thresholding, IEEE Trans. Inform. Theory 41 (1995), 613-627. [8] Yi-Chun Hu, Ruey-Shun Chen, Yen-Tseng Hsu and Gwo-Hshiung Tzeng, Grey self-organizing feature maps, Neurocomputing 48 (2002), 863-877. [9] Zhi-Song Pan, Song-Can Chen and Dao-Qian Zhang, Generalized grey SOM and their performance evaluations, Chinese J. Comput. 27 (2004), 530-534. [10] J. Scharcanski, C. R. Jung and R. T. Clarke, Adaptive image denoising using scale and space consistency, IEEE Trans. Image Process. 11 (2002), 1092-1101.

Keywords and phrases: self-organizing feature maps, image denoising, neighbouring wavelet coefficients.