Presentation 2002/10/17
A Cubic Unsharp Masking Using the Multiscale Products
Hidetoshi OKAZAKI, Makoto NAKASHIZUKA,
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Abstract(in English) In this paper, we propose a new cubic unsharp masking technique using the wavelet scale product. The linear unsharp masking technique emphasizes the high frequency component in the degraded input image for local contrast enhancement. However, the noise component that appears in the input image is also emphasized. To avoid emphasis of noise components, the cubic unsharp masking has been proposed. In the cubic unsharp masking, the magnitude of emphasis of the high frequency component is controlled by the local gradient of the input image. To improve the noise suppression capability of the cubic unsharp masking, we introduce the wavelet multiscale product for control of the emphasis of the high frequency components. Since the multiscale product indicates the edge region by its sign, the simple threshold operation can extract the region that is desired to enhance. In experiment, we show comparison between the cubic unsharp masking with gradients and the proposed method. The noise variance of the enhance image that is obtained from the proposed method is about half of the conventional cubic unsharp masking.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image Enhancement / Unsharp Masking / Wavelet Transform / Edge Detection
Paper # IE2002-80
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Conference Information
Committee IE
Conference Date 2002/10/17(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Cubic Unsharp Masking Using the Multiscale Products
Sub Title (in English)
Keyword(1) Image Enhancement
Keyword(2) Unsharp Masking
Keyword(3) Wavelet Transform
Keyword(4) Edge Detection
1st Author's Name Hidetoshi OKAZAKI
1st Author's Affiliation Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name Makoto NAKASHIZUKA
2nd Author's Affiliation Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology
Date 2002/10/17
Paper # IE2002-80
Volume (vol) vol.102
Number (no) 403
Page pp.pp.-
#Pages 5
Date of Issue