Presentation | 2000/5/11 Compression of Natural Images Using Vector Coding Reiko Osada, Terumasa Aoki, Hiroshi Yasuda, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | vector coding / function approximation / compression / natural image / boundary contour |
Paper # | DSP2000-16 |
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Committee | DSP |
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Conference Date | 2000/5/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Digital Signal Processing (DSP) |
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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 |
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