Abstract
Predictive models for generating side information in differential encoding of data (e.g., images) sampled at high densities are considered. A model based on incremental difference operators is used in place of the conventional linear predictive coding (LPC) paradigm. It is seen that, unlike standard LPC, this formulation is stable for high sampling densities. Moreover, this formulation leads to more efficiently encoded side information in this regime.
| Original language | English (US) |
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| Pages | 1675-1677 |
| Number of pages | 3 |
| State | Published - 1995 |
| Event | Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) - Firenze, Italy Duration: Jul 10 1995 → Jul 14 1995 |
Other
| Other | Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) |
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| City | Firenze, Italy |
| Period | 7/10/95 → 7/14/95 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- General Earth and Planetary Sciences