Lossless JPEG compression of remote sensing imagery

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsC.-C.J. Kuo
Pages122-132
Number of pages11
Volume2606
DOIs
Publication statusPublished - 21 Nov 1995
Externally publishedYes
EventDigital Image Storage and Archiving Systems - Philadelphia, PA, USA
Duration: 25 Oct 199526 Oct 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2606
ISSN (Print)0277-786X

Conference

ConferenceDigital Image Storage and Archiving Systems
CityPhiladelphia, PA, USA
Period25/10/9526/10/95

Fingerprint

Dive into the research topics of 'Lossless JPEG compression of remote sensing imagery'. Together they form a unique fingerprint.

Cite this