A vector coding method for natural images

Reiko Osada, Terumasa Aoki, Hiroshi Yasuda

研究成果: Conference contribution

抄録

A new vector coding for natural image, which has a compressive algorithm, is presented and images' features showed in this method are described. In this paper, the pixel-value-boundary contours on RGB or YCrCb planes of natural images are expressed by function approximation and then their contour shapes are predicted from similar contours in the decoder side. The proposed vector coding method has two main merits: the one is to meet the demands of expansion and reduction of images, the second is to suit content distribution because images can be kept their quality even under the repetition of editing. These are due to representation of function approximation. In spite of these merits on vector coding, any applications to natural have never been studied for its considerably increase of data. To put vector coding for natural images to practical use, we try to compress the data by using characteristics in three-dimensional representation of images.

本文言語English
ホスト出版物のタイトルProceedings - Applied Imagery Pattern Recognition Workshop
出版社Institute of Electrical and Electronics Engineers Inc.
ページ146-150
ページ数5
2000-January
ISBN(印刷版)0769509789
DOI
出版ステータスPublished - 2000
外部発表はい
イベント29th Applied Imagery Pattern Recognition Workshop, AIPR 2000 - Washington, United States
継続期間: 2000 10 162000 10 18

Other

Other29th Applied Imagery Pattern Recognition Workshop, AIPR 2000
国/地域United States
CityWashington
Period00/10/1600/10/18

ASJC Scopus subject areas

  • 工学(全般)

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