Abstract
Applications using remote sensing imagery rely on very high accuracy of the pixel data values. This requirement necessitates use of lossless or near-lossless compression techniques during storage. These techniques tend to provide rather limited compression rates of between 2:1 and 3:1. An approach for improving the compression rates of lossless mode JPEG based on contextual choice of the current pixel predictor is presented. Tests on a range of remote sensing images demonstrate the promise in this approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | C.-C.J. Kuo |
| Pages | 122-132 |
| Number of pages | 11 |
| Volume | 2606 |
| DOIs | |
| Publication status | Published - 21 Nov 1995 |
| Externally published | Yes |
| Event | Digital Image Storage and Archiving Systems - Philadelphia, PA, USA Duration: 25 Oct 1995 → 26 Oct 1995 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 2606 |
| ISSN (Print) | 0277-786X |
Conference
| Conference | Digital Image Storage and Archiving Systems |
|---|---|
| City | Philadelphia, PA, USA |
| Period | 25/10/95 → 26/10/95 |
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Cite this
Maeder, A. J. (1995). Lossless JPEG compression of remote sensing imagery. In C-CJ. Kuo (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2606, pp. 122-132). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2606). https://doi.org/10.1117/12.227237