ADAPTIVE MULTILEVEL MEDIAN FILTER BASED ON DIRECTION INFORMATION MEASURE

Yang Haijun; Liang Dequn; Jiang Xuefeng

Volume 23 Issue 12

Dec. 2001

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Yang Haijun, Liang Dequn, Jiang Xuefeng. ADAPTIVE MULTILEVEL MEDIAN FILTER BASED ON DIRECTION INFORMATION MEASURE[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1326-1332.

Citation:

Yang Haijun, Liang Dequn, Jiang Xuefeng. ADAPTIVE MULTILEVEL MEDIAN FILTER BASED ON DIRECTION INFORMATION MEASURE[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1326-1332.

Yang Haijun, Liang Dequn, Jiang Xuefeng. ADAPTIVE MULTILEVEL MEDIAN FILTER BASED ON DIRECTION INFORMATION MEASURE[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1326-1332.

Citation:

Yang Haijun, Liang Dequn, Jiang Xuefeng. ADAPTIVE MULTILEVEL MEDIAN FILTER BASED ON DIRECTION INFORMATION MEASURE[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1326-1332.

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ADAPTIVE MULTILEVEL MEDIAN FILTER BASED ON DIRECTION INFORMATION MEASURE

Received Date: 1999-06-11
Rev Recd Date: 1999-10-29
Publish Date: 2001-12-19

Abstract

Abstract

This paper presents a new adaptive multilevel median filter based on direction information measure to solve the contradiction between noise attenuation and image details-preserving (edge-preserving). Direction is one of nature distinctions between noise and edge, and an adaptive algorithm based on direction information measure is constructed to decide the format and size of median filter without any knowledge of image and noise. A comparison of median filter, single direction multilevel filter, bidkection multilevel filter and the method in this paper has been done. The result indicates that the method has better effectiveness.

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References(1)

References

D. Marr, T. Poggio, A computational theory of human stereo vision, Proc. Roy. Soc. London,1979, Vol. B-204, 301-328.[2]A. Nieminen, P. Heinonen, Y. Neuvo, A new class of detail-preserving filters for image processing,IEEE Trans. on PAMI, 1987, PAMI-9(1), 74-90.[3]G.R. Arce, R. E. Foster, Detail preserving ranked-order based filters for image processing, IEEE Trans. on ASSP, 1989, ASSP-37(1), 83-98.[4]杨煊,基于图像信息测度的多尺度边缘检测方法研究,[博士论文],西安,西安交通大学,1998.[5]M.O. Ahmad, D. Sundarajan, A fast algorithm for two-dimensional median filtering, IEEE Trans.on CAS,1987, CAS-34(11), 1364-1374.

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