基于3DLMS预测的高光谱图像无损压缩算法

被引:3
作者
陈永红 [1 ,2 ]
史泽林 [1 ]
李德强 [1 ]
机构
[1] 中国科学院沈阳自动化研究所
[2] 中国科学院研究生院
关键词
3DLMS; 高光谱图像; 无损压缩; 自适应预测;
D O I
10.19650/j.cnki.cjsi.2009.10.033
中图分类号
TP751.1 [数字处理];
学科分类号
摘要
针对高光谱图像无损压缩比较低的问题,将三维LMS算法(3DLMS)应用于高光谱图像压缩领域,利用3DLMS算法构造了一种新的高光谱图像自适应预测模型,通过去局部因果集均值方法实现了模型优化。对不同场景AVIRIS图像的实验表明,基于3DLMS预测的高光谱图像无损压缩算法同时降低了高光谱图像的空间和谱间冗余,提高了高光谱图像的无损压缩比,同时该方法也验证了3DLMS算法在高光谱图像压缩中的可行性。
引用
收藏
页码:2197 / 2202
页数:6
相关论文
共 16 条
[1]  
Low-complexity LosslessCompression of Hyperspectral Imagery via Linear Prediction. Rizzo F,Carpentieri B,et al. IEEE Signal Processing Letters . 2005
[2]  
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS. Marcelo J Weinberger,Gadiel Seroussi,Guillermo Sapiro. IEEE Transactions on Image Processing . 2000
[3]  
Context-based, adaptive, lossless image coding. Wu X,Memon N. IEEE Transactions on Communications . 1997
[4]  
The lossless compression of AVIRIS images by vector quantization. Ryan M J,Arnold J F. IEEE Transactions on Geoscience and Remote Sensing . 1997
[5]  
Low-complexity lossless compression of hyperspectral imagery via adaptive filtering. KLIMESH M. . 2005
[6]  
Crisp and fuzzy adaptive spectral predictions for lossless and near-lossless compression of hyperspectral imagery. Bruno Aiazzi,Luciano Alparone,Stefano Baronti,Cinzia Lastri. IEEE Geoscience and Remote Sensing Letters . 2007
[7]  
Context -based lossless interband compression-extending CALIC. Wu Xiao-lin,Nasir Memon. IEEE Transactions on Image Processing . 2000
[8]  
Hyperspectral image restoration and coding. LARSEN M,VENKATACHALAM T B A. Thirty-Sixth Asilomar Conference on Signals,Systems and Computers . 2002
[9]  
LMS based adaptive prediction for scalable video coding. TOREYIN B,PESQUET-POPESCU M T B,et al. IEEE International Conference on Acoustics Speech and Signal Processing Proceedings . 2006
[10]  
Multiband lossless compression of hyper-spectral images. MAGLI E. IEEE Transactions on Geoscience and Remote Sensing . 2007