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《Signal Proccessing》 1988-01
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Generalized Homomorphic and Adaptive Order Statistic Filters for Image Processing

Ding Runtao (Tianjin University)  
In this paper,two new nonlinear filters for filtering signal-dependent noise,additive noise and impulsive noise in image processing are proposed.The first filter proposed is an order statistic filter based on a generalizecd homomorphic transformation.The second is an adaptive order statistic filter with a variable th- reshold,which changes according to the noise level.Both of these filters perform well for the different kinds of noise encountered in image processing.they supp- ress signal-dependent noise,additive noise and impulsive noise better than medi- an filters,order statiatic filters,general nonlinear mean filters,modified trimm- ed mean filters,ard double window modified trimmed mean filters.They also preserve the edges of an image better than median filters and are simple to implo- ment.
【Fund】: 国家自然科学基金
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【References】
Chinese Journal Full-text Database 3 Hits
1 Xu Jiapin (Department of Radio Electroncs);THE APPLICATION OF ADAPTIVE KALMAN FILTER TO CCD MEASURE SYSTEM[J];JOURNAL OF SICHUAN UNIVERSITY (NATURAL SCIENCE EDITION);1997-04
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【Co-references】
Chinese Journal Full-text Database 2 Hits
1 Wang De-min, Wang Qing-lin (Electronic Engineering Department, Shandong Engineering Institute).;A Weighted Averaging Method for Image Smoothing[J];Acta Electronica Sinica;1986-06
2 Ding Runtao(Tianjin University);New Advances in the Nonlinear Digital Filters[J];Journal of China Institute of Communications;1988-02
【Secondary References】
Chinese Journal Full-text Database 10 Hits
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