Presentation 2009-10-15
Iterative Edge-Preserving Adaptive Wiener Filter for Image Restoration
Chikako ABE, Tetsuya SHIMAMURA,
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Abstract(in English) In this paper, an image restoration method for noisy image corrupted by additive white noise is proposed. It is well known that the Adaptive Wiener Filter (AWF) is suitable for such restoration. However, some noises remain in an image restored by the AWF. In order to improve the performance of the AWF, an iterative algorithm is proposed. To prevent original image signal loss, a weighting parameter is used for the noise. Then, the filter applied to the edge region is adjusted using a modified filter kernel. Compared to the conventional AWF, the proposed filter provides better edge preservation.
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Keyword(in English) Image Restoration / Wiener Filter / Iteration / Edge
Paper # SIP2009-60,IE2009-85
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Conference Information
Committee IE
Conference Date 2009/10/8(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Iterative Edge-Preserving Adaptive Wiener Filter for Image Restoration
Sub Title (in English)
Keyword(1) Image Restoration
Keyword(2) Wiener Filter
Keyword(3) Iteration
Keyword(4) Edge
1st Author's Name Chikako ABE
1st Author's Affiliation Graduate School of Science and Engineering, Saitama University()
2nd Author's Name Tetsuya SHIMAMURA
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama University
Date 2009-10-15
Paper # SIP2009-60,IE2009-85
Volume (vol) vol.109
Number (no) 227
Page pp.pp.-
#Pages 6
Date of Issue