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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Said, A. Drukarev, A. |
| Copyright Year | 1999 |
| Description | Author affiliation: Hewlett-Packard Co., Palo Alto, CA, USA (Said, A.) |
| Abstract | There are three basic segmentation schemes for compound image compression: object-based, layer-based, and block-based. This paper discusses the relative advantages of each scheme and architecture, and studies the use of fast classification techniques for a segmentation that can be used together with a chosen compression architecture. Particularly, we consider classification techniques working on approximate object boundaries, which reaches the localization and precision of the segmentation, but in exchange allows faster, one-pass segmentation, low memory requirements, and segmentation map that is better matched to existing compression methods. We show numerical results obtained on a printer application environment, where rigorous standards of visual quality have to be satisfied. |
| Starting Page | 229 |
| Ending Page | 233 |
| File Size | 500740 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780354672 |
| DOI | 10.1109/ICIP.1999.821603 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-10-24 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image coding Compression algorithms Focusing Graphics Humans Image analysis Laboratories Printers Image processing |
| Content Type | Text |
| Resource Type | Article |
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