Differential encoding of high-resolution data

Research output: Contribution to conferencePaper

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 languageEnglish (US)
Pages1675-1677
Number of pages3
StatePublished - Jan 1 1995
EventProceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) - Firenze, Italy
Duration: Jul 10 1995Jul 14 1995

Other

OtherProceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3)
CityFirenze, Italy
Period7/10/957/14/95

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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    Poor, H. V. (1995). Differential encoding of high-resolution data. 1675-1677. Paper presented at Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3), Firenze, Italy, .