Presentation 2004/6/18
Improving Performance of Digital Image Enlargement Method
Atsuo WATANABE, Akira TAGUCHI,
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Abstract(in English) It is necessary to predict unknown higher-frequency components that are lost by sampling for enlarging digital images. Based on Laplacian pyramid representation, the prediction of unknown higher-frequency components is equivalent to the prediction of a known higher-resolution Laplacian image. We have proposed 'the higher resolution method based on the Laplacian pyramid representation. However, Laplacian pyramid representation was considered for image compression. Thus, we think that the band width of Gaussian filter for image compression is not optimal for digital image enlargement. In this paper, we proposed a new enlargement method of digital image with the variable band width of Gaussian filter.
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Keyword(in English) Dieital imaee enlargement / Laolacian ovramid reoresentation / Gaussian filter
Paper # SIS2004-14
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Conference Date 2004/6/18(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improving Performance of Digital Image Enlargement Method
Sub Title (in English)
Keyword(1) Dieital imaee enlargement
Keyword(2) Laolacian ovramid reoresentation
Keyword(3) Gaussian filter
1st Author's Name Atsuo WATANABE
1st Author's Affiliation Faculty of Engineering, Musashi Institute of Technology()
2nd Author's Name Akira TAGUCHI
2nd Author's Affiliation Faculty of Engineering, Musashi Institute of Technology
Date 2004/6/18
Paper # SIS2004-14
Volume (vol) vol.104
Number (no) 144
Page pp.pp.-
#Pages 6
Date of Issue