Lossless coding for progressive archival of multispectral images

被引：0
|
作者：
Benazza-Benyahia, A [1 ]
Pesquet, JC [1 ]
Hamdi, M [1 ]
机构：
[1] SUPCOM, Dept MASC, Ariana 2083, Tunisia
来源：
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM | 2001年
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D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, a nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless coding of multispectral images. The merit of this new scheme is to exploit efficiently both the spatial and the spectral redundancies contained in a multispectral image sequence. Besides, it is suitable for progressive coding, which constitutes a desirable feature for telebrowsing applications. Simulation tests performed on real scenes allow to assess the performances of this new multiresolution coding algorithm. They demonstrate that the achieved compression ratios are higher than those obtained with currently used lossless coders.
引用
收藏
页码：1817 / 1820
页数：4
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