Presentation 2008-02-18
A new image coding method using DCT coefficients based on geometrical features and interested area
Taro SAITO, Masashi KAMEDA,
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Abstract(in English) DCT coefficients of images are considered as uncorrelated random noise sequences stochastically, however, they have kept some features which are correspond to geometrical structure of images. We have proposed an image reconstruction method by preserving the extracted structural features in DCT coefficients. In this paper, it is presented that efficient method to preserve features and a region selection method based on the extracted features.
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Keyword(in English) DCT / Image reconstrucution / Structural features of image / Sparse coding / ROI
Paper # ITS2007-51,IE2007-234
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Conference Information
Committee IE
Conference Date 2008/2/11(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) A new image coding method using DCT coefficients based on geometrical features and interested area
Sub Title (in English)
Keyword(1) DCT
Keyword(2) Image reconstrucution
Keyword(3) Structural features of image
Keyword(4) Sparse coding
Keyword(5) ROI
1st Author's Name Taro SAITO
1st Author's Affiliation Graduate School of Software and Information Science, Iwate Prefectural University()
2nd Author's Name Masashi KAMEDA
2nd Author's Affiliation Graduate School of Software and Information Science, Iwate Prefectural University
Date 2008-02-18
Paper # ITS2007-51,IE2007-234
Volume (vol) vol.107
Number (no) 488
Page pp.pp.-
#Pages 6
Date of Issue