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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paredes, J.L. Arce, G.R. Russo, L.E. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA (Paredes, J.L.) |
| Abstract | A new approach to multispectral image compression is introduced where the intra- and cross-band correlations are jointly exploited in a surprisingly simple yet very effective manner. The proposed compression algorithm maps the multispectral image set into a virtual 2-dimensional array and applies a scalar image coding algorithm to the virtual array. Thus, the spatial correlation and the spectral correlation of the multispectral data set are jointly exploited. Based on the statistical characteristics of the multispectral data, the bijection mapping is optimized to minimize the distortion introduced by the compression algorithm. At high compression rates, the new algorithm outperforms traditional compression algorithms whenever the cross-band correlation is high and it yields comparable performance at low compression rates. |
| Starting Page | 648 |
| Ending Page | 651 |
| File Size | 405698 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362977 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2000.899537 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Multispectral imaging Signal processing algorithms Compression algorithms Decorrelation Data processing Transform coding Bit rate Collaboration Laboratories |
| Content Type | Text |
| Resource Type | Article |
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