Presentation 2000/5/11
Compression of Natural Images Using Vector Coding
Reiko Osada, Terumasa Aoki, Hiroshi Yasuda,
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Abstract(in English) A vector coding, which represents images by function approximation, not only meets the demands of expansion and reduction but also suits information distribution because of the quality of images by the repetition of editing. Furthermore, it is widely used for the specific images, such as letters and maps, whose color boundaries are enough clear. But it is difficult to apply a vector coding to natural images, because of larger size of data. In this paper, we propose a new vector coding for compression of natural images, in which RGB-plane boundary contours of natural images are expressed by function approximation and their contour shapes are predicted from similar contors.
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Keyword(in English) vector coding / function approximation / compression / natural image / boundary contour
Paper # DSP2000-16
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Conference Information
Committee DSP
Conference Date 2000/5/11(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Compression of Natural Images Using Vector Coding
Sub Title (in English)
Keyword(1) vector coding
Keyword(2) function approximation
Keyword(3) compression
Keyword(4) natural image
Keyword(5) boundary contour
1st Author's Name Reiko Osada
1st Author's Affiliation Graduate School of Engineering, University of Tokyo()
2nd Author's Name Terumasa Aoki
2nd Author's Affiliation Graduate School of Engineering, University of Tokyo
3rd Author's Name Hiroshi Yasuda
3rd Author's Affiliation Graduate School of Engineering, University of Tokyo
Date 2000/5/11
Paper # DSP2000-16
Volume (vol) vol.100
Number (no) 50
Page pp.pp.-
#Pages 8
Date of Issue