Abstract
A bit-plane data-reduction scheme based on some characteristics of human image perception is described. This scheme is an information lossy/modifying type. General properties of bit-plane-decomposed images are reviewed. A method of image uniformalization that modifies less important portions on the bit-planes into flat areas is introduced. A hierarchial uniformalization algorithm is presented as the actual strategy. The important features of this algorithm are that it can use the coded data in the depth first (DF) expression and that the data modification is not likely to affect edges and isolated small areas, which are both very important for the image perception.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Publisher | Publ by IEEE |
| Pages | 208-214 |
| Number of pages | 7 |
| Volume | 2 |
| Publication status | Published - 1990 |
| Externally published | Yes |
| Event | Proceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA Duration: 1990 Jun 16 → 1990 Jun 21 |
Other
| Other | Proceedings of the 10th International Conference on Pattern Recognition |
|---|---|
| City | Atlantic City, NJ, USA |
| Period | 90/6/16 → 90/6/21 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Data reductive image coding by bit-plane modifications. / Kawaguchi, Eiji; Kamata, Seiichiro.
Proceedings - International Conference on Pattern Recognition. Vol. 2 Publ by IEEE, 1990. p. 208-214.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Data reductive image coding by bit-plane modifications
AU - Kawaguchi, Eiji
AU - Kamata, Seiichiro
PY - 1990
Y1 - 1990
N2 - A bit-plane data-reduction scheme based on some characteristics of human image perception is described. This scheme is an information lossy/modifying type. General properties of bit-plane-decomposed images are reviewed. A method of image uniformalization that modifies less important portions on the bit-planes into flat areas is introduced. A hierarchial uniformalization algorithm is presented as the actual strategy. The important features of this algorithm are that it can use the coded data in the depth first (DF) expression and that the data modification is not likely to affect edges and isolated small areas, which are both very important for the image perception.
AB - A bit-plane data-reduction scheme based on some characteristics of human image perception is described. This scheme is an information lossy/modifying type. General properties of bit-plane-decomposed images are reviewed. A method of image uniformalization that modifies less important portions on the bit-planes into flat areas is introduced. A hierarchial uniformalization algorithm is presented as the actual strategy. The important features of this algorithm are that it can use the coded data in the depth first (DF) expression and that the data modification is not likely to affect edges and isolated small areas, which are both very important for the image perception.
UR - http://www.scopus.com/inward/record.url?scp=0025556964&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025556964&partnerID=8YFLogxK
M3 - Conference contribution
VL - 2
SP - 208
EP - 214
BT - Proceedings - International Conference on Pattern Recognition
PB - Publ by IEEE
ER -