New Adaptive Vector Filter Based on Noise Estimate (Special Section of Papers Selected from ITC-CSCC '98)
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概要
- 論文の詳細を見る
In this paper, quasi-Gaussian filter, quasi-median filter and locally adaptive filters are introduced. A new adaptive vector filter based on noise estimate is proposed to suppress Gaussian and/or impulse noise. To estimate the type and degree of noise corruption, a noise detector and an edge detector are introduced, and two key parameters are obtained to characterize noise in color image. After globally estimating the type and degree of noise corruption, different locally adaptive filters are properly chosen for image enhancement. All noisy images, used to test filters in experiments, are generated by PaintShop-Pro and Photoshop software. Experimental results show that the new adaptive filter performs better in suppressing noise and pre-serving details than the filter in Photoshop software and other filters.
- 社団法人電子情報通信学会の論文
- 1999-06-25
著者
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Kim Yong
Division Of Gynecologic Oncology Department Of Obstetrics And Gynecology Yonsei University College O
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Jiang Gang
Division Of Electronics Engineering Ajou University
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Ha Dong
Division Of Electronics Engineering Ajou University
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YU Mei
Division of Electronics Engineering, Ajou University
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CHOI Tae
Division of Electronics Engineering, Ajou University
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Kim Yong
Division Of Allergy And Respiratory Medicine Department Of Internal Medicine Genome Research Center
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Yu M
Ningbo Univ. Ningbo Chn
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Kim Yong
Division Of Electronics Engineering Ajou University
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Choi T
Division Of Electronics Engineering Ajou University
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Ha Dong
Division of Convergence Technology, Korea Research Institute of Standards and Science, Daejeon 305-340, Korea
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