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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cappellari, L. Calvagno, G. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Information Engineering, University of Padova, via Gradenigo 6/B - 35131 - Italy (Cappellari, L.; Calvagno, G.) |
| Abstract | Reversible cellular automata have been proposed as nonlinear filter banks for spatially scalable binary image compression. Previous design approaches led to efficient coders for simple images but do not guarantee detail preservation across scales. In this work we are concerned with the design of optimized cellular automata rules that offer better performances. The lifting principle is used for guaranteeing reversibility. We obtain a scalable coder that (i) offers the same quality of JBIG in the reduced scale images, (ii) achieves high compression ratios on simple images, (iii) provides at least the same performance of JBIG on any image content, and (iv) employs arithmetic coding with a very small number of contexts for reduced complexity. |
| Starting Page | 1901 |
| Ending Page | 1904 |
| File Size | 396251 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424456536 |
| ISSN | 15224880 |
| e-ISBN | 9781424456543 |
| e-ISBN | 9781424456550 |
| DOI | 10.1109/ICIP.2009.5413664 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-07 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Nonlinear filters Arithmetic Discrete wavelet transforms Adaptive filters Pixel Image resolution Image quality Design engineering Design optimization lifting structures Cellular automata scalable coding binary images |
| Content Type | Text |
| Resource Type | Article |
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