Unified Lossy and Near-Lossless Hyperspectral Image Compression Based on JPEG 2000

被引：46

作者：

Carvajal, Gisela ^{[1
]}

Penna, Barbara ^{[1
]}

Magli, Enrico ^{[1
]}

机构：

[1] Politecn Torino, Dipartimento Elettron, I-10129 Turin, Italy

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2008年 / 5卷 / 04期

关键词：

CALIC; hyperspectral data; JPEG; 2000; Karhunen-Loeve transform (KLT); lossy compression; near-lossless compression;

D O I：

10.1109/LGRS.2008.2000651

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We propose a compression algorithm for hyperspectral images featuring both lossy and near-lossless compression. The algorithm is based on JPEG 2000 and provides better near-lossless compression performance than 3D-CALIC. We also show that its effect on the results of selected applications is negligible and, in some cases, better than JPEG 2000.

引用

页码：593 / 597

页数：5

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