@inproceedings{6191ad8005044d5d80aa5e5040db3b32,
title = "Lossless JPEG compression of remote sensing imagery",
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.",
author = "Maeder, {Anthony J.}",
year = "1995",
month = nov,
day = "21",
doi = "10.1117/12.227237",
language = "English",
isbn = "0819419702",
volume = "2606",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
pages = "122--132",
editor = "C.-C.J. Kuo",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Digital Image Storage and Archiving Systems ; Conference date: 25-10-1995 Through 26-10-1995",
}