Presentation 2001/7/11
Image Restoration Using an Adaptive Kalman Filter with Edge Preservation
Atsushi Matsumura, Miki Haseyama, Hideo Kitajima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose an edge-adaptive image modeling approach to preserve edges with greater noise reduction. The general Kalman filter for image restoration removes most of the high-frequency components from the image thus reducing the noise. However, this also has the undersirable effect of smoothing edge resulting in blurring or ringing. The proposed method classifies the pixels of an observed image in the flat region and the four edge regions, and estimates the image model for each region. It is possible to restore an image more accurately without excessive smoothing. The five Kalman filters which are designed for each part perform the restoration adaptively in each region. As a result, we obtain an accurate image while preserving the edges.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) image restoration / Kalman filter / edge detection / image model
Paper # IE2001-36,PRMU2001-56,MVE2001-35
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Conference Information
Committee MVE
Conference Date 2001/7/11(1days)
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Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Restoration Using an Adaptive Kalman Filter with Edge Preservation
Sub Title (in English)
Keyword(1) image restoration
Keyword(2) Kalman filter
Keyword(3) edge detection
Keyword(4) image model
1st Author's Name Atsushi Matsumura
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki Haseyama
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo Kitajima
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2001/7/11
Paper # IE2001-36,PRMU2001-56,MVE2001-35
Volume (vol) vol.101
Number (no) 204
Page pp.pp.-
#Pages 6
Date of Issue