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Data Department Linear Combination of Weighted Order Statistics(DD-LWOS) Filtering Based on Local Statistics  

박동희 (관동대학교)
배철수 (관동대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.6, no.4, 2002 , pp. 639-644 More about this Journal
Abstract
Nonlinear filters which are utilized rank-order information and temporal-order information, have many proposed, in order to restore nonstationary signals which are corrupted by additive noise. In this paper, we propose a data-dependent LWOS filter whose coefficients change based on local statistics. LWOS(Linear Combination of Weighted Order Statistics) filters［1］which also utilized two informations, and have properties of efficient impulsive and nonimpulsive noise attenuation and sufficiently details and edges preservation. DD-LWOS filters can remove non-impulsive oises while preserving signal details. DD-LWOS2 filter gets more better performance than DD-LWOS filter when input image corrupted by additive noise which includes Impulsive noise components.
Keywords
LWOS; DD-LWOS;
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1 J. Song and Y.L. Lee 'Linear Combination of Weighted order Statistics Filters: Canouical Structure and Optimal Design', IEEE Trans. Circuits and Systems-II, vol. CAS-II 43, No.5, pp 349-362, May. 1996
2 F. Palmieri and CG. Boncelet, Jr: 'LI-Filter -A New Class of Order Statistics filters', IEEE Trans. Acoustics, Speech, Signal Processing, vol. ASSP-37, pp.691-701, May. 1989
3 A. Taguchi, T. Sun and M. Gabbouj: 'Adaptive Weighted Median Filtering Based on Local Statistics', Proc. 7th European Signal Processing Conference (EUSIPCO-94), pp. 1768-1771, September 1994
4 Y. Lin, Y. Neuvo: 'Fast Adaption and Performance Characteristics of FIR-WOS Hybrid Filters', IEEE Trans Signal Processing, vol, SP-42, pp.1610-1628, July. 1994
5 A. Taguchi: 'Adaptive $\alpha$-trimmed Mean Filters with Excellent Detail-preserving', Proc. 1994 iEEEInternational Conference on Acoustics, Speech & Signal Processing, pp. V-61 V-64, April 1994
6 S. J. Ko, Y. H. Lee: 'Center Weighted Median Filters and Their Applications to Image Enhancement', IEEE Trans. Circuits and Systems-Ⅱ, vol. CAS-38, No.9, pp.984-993, September. 1991   DOI   ScienceOn
7 L. Tin, R. Yang, M. Gabbouj, Y. Neuvo: 'Weighted Median Filters: A Tutorial', IEEE Trans. Circuits and Systems-, vol. CAS-II 43, No.3 pp.157-192, March. 1996