Abstract
We consider the compression of multispectral images using Hilbert scanning and adaptive arithmetic coding. The Hilbert scan is a general technique for continuous scanning of multidimensional data. Arithmetic coding has established itself as the superior method for lossless compression. The aim of this paper is to investigate the integration of the arithmetic coding methodology and a n-dimensional Hilbert scanning algorithm developed by Perez, Kamata and Kawaguchi.
| Original language | English |
|---|---|
| Pages (from-to) | 354-361 |
| Number of pages | 8 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 1567 |
| DOIs | |
| Publication status | Published - 1991 Dec 1 |
| Externally published | Yes |
| Event | Applications of Digital Image Processing XIV 1991 - San Diego, United States Duration: 1991 Jul 21 → … |
Keywords
- Arithmetic coding
- Compression
- Hilbert scanning
- Landsat
- Modeling
- Multispectral image
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering