Abstract
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.
| Original language | English |
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| Title of host publication | ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems |
| Pages | 452-455 |
| Number of pages | 4 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 2000 Dec 1 |
| Externally published | Yes |
| Event | 7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000 - Jounieh, Lebanon Duration: 2000 Dec 17 → 2000 Dec 20 |
Other
| Other | 7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000 |
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| Country/Territory | Lebanon |
| City | Jounieh |
| Period | 00/12/17 → 00/12/20 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering