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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tamir, D.E. Liu, B.C. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Comput. Sci., Florida Inst. of Technol., Melbourne, FL, USA (Tamir, D.E.; Liu, B.C.) |
| Abstract | This paper reports the results of a set of experiments that apply state-space search methods to explore efficient ways for online construction of an optimal quadtree. An optimal quadtree is defined as a quadtree that yields a minimum reconstruction error for a given compression rate. Although some researchers have proposed procedures for image compression with quadtrees most of these methods either refer to binary images or use an off-line method to fix the variance-threshold. The results of our experiments show that a very low distortion (measured in SNR) can be achieved in a reasonable computation effort. Comparison with the literature proves that in some cases, for a given compression, our quadtree construction algorithm yields less distortion than well known image compression methods such as DCT-based vector quantization, and wavelet-based vector quantization. |
| Starting Page | 172 |
| Ending Page | 177 |
| File Size | 564285 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780332008 |
| DOI | 10.1109/IAI.1996.493748 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-04-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal to noise ratio State-space methods Image coding Distortion measurement Search methods Rate distortion theory Space technology Image reconstruction Vector quantization Pixel |
| Content Type | Text |
| Resource Type | Article |
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