A vector coding with a compressive algorithm for natural images

Reiko Osada, Terumasa Aoki, Hiroshi Yasuda

研究成果: Conference contribution

抄録

This paper proposes a new vector coding with a compressive algorithm for natural images. Here the pixel-value-boundary contours on RGB planes of natural images are expressed by function approximation, and their contour shapes are predicted from similar contours in the decoder side. A vector coding, which represents images by function approximation, not only meets the demands of expansion and reduction but also suits content distribution because of the keeping quality of images even for the repetition of editing. In spite of these merits on vector coding (representation by function approximation based on characteristics of images), the application to natural images has 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ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems
ページ452-455
ページ数4
1
DOI
出版ステータスPublished - 2000 12 1
外部発表はい
イベント7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000 - Jounieh, Lebanon
継続期間: 2000 12 172000 12 20

Other

Other7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000
国/地域Lebanon
CityJounieh
Period00/12/1700/12/20

ASJC Scopus subject areas

  • 電子工学および電気工学

フィンガープリント

「A vector coding with a compressive algorithm for natural images」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル