QUALITY EVALUATION OF PROGRESSIVE LOSSY-TO-LOSSLESS REMOTE-SENSING IMAGE CODING

被引：5
|
作者：
Blanes, Ian [1 ]
Serra-Sagrista, Joan [1 ]
机构：
[1] Univ Autonoma Barcelona, Dept Informat & Commun Engn, Barcelona, Spain
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
Hyper-spectral image coding; progressive lossy-to-lossless; remote sensing; quality evaluation; multi-component JPEG2000; COMPRESSION;
D O I：
10.1109/ICIP.2009.5414283
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Progressive lossy-to-lossless methods for hyper-spectral image coding are becoming common in remote-sensing. However, as remote-sensing imagery is sometimes fed directly into an automated process, there are several alternative distortion measures directed to quantify the image quality with regard to how this process will perform. In this scenario, we investigate the quality evolution in the lossy regime of progressive lossy-to-lossless and perform a detailed evaluation.
引用
收藏
页码：3709 / 3712
页数：4
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