Vector-lifting schemes for lossless coding and progressive archival of multispectral images

被引：25

作者：

Benazza-Benyahia, A ^{[1
]}

Pesquet, JC

Hamdi, M

机构：

[1] Ecole Super Commun Tunis, Dept Math Appl Signal & Commun, Ariana 2083, Tunisia

[2] Univ Marne La Vallee, CNRS, URA 820, F-77454 Marne La Vallee 2, France

[3] Univ Marne La Vallee, Inst Gaspard Monge, F-77454 Marne La Vallee 2, France

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2002年 / 40卷 / 09期

关键词：

filter banks; lifting schemes; lossless coding; multispectral images; progressive coding; satellite imaging;

D O I：

10.1109/TGRS.2002.803845

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：

In this paper, a nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless and progressive coding of multispectral images. The merit of this new scheme is to exploit efficiently the spatial and the spectral redundancies contained in the multispectral images related to a scene of interest. Besides, the proposed method is suitable for telebrowsing applications. Experiments carried out-on real scenes allow to assess its performances.' The simulation results demonstrate that our approach leads to improved compression performances compared with currently used lossless coders.

引用

页码：2011 / 2024

页数：14

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