| 基于改进的K-L变换的多光谱图像压缩算法 |
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| 引用本文： | 徐冬冬,付天骄,张宇,张星祥,任建岳.基于改进的K-L变换的多光谱图像压缩算法[J].光电子．激光,2015,26(6):1200-1205. |
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| 作者姓名： | 徐冬冬 付天骄 张宇 张星祥 任建岳 |
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| 作者单位： | 中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033 ;中国科学院大学,北京 100039;中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033;中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033;中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033;中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033 |
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| 基金项目： | 国家“863”高技术研究发展计划(863-2-5-1-13B)资助项目 (1.中国科学院长春光学精密机械与物理研究所,吉林 长春 130033； 2.中国科学院大学,北京 100039) |
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| 摘 要： | 融合离散小波变换(DWT,discrete wavelet tran sform)与Karhunen-Loeve变换(KLT),将图像的能量集中到少数系数上,以达到更好的 压缩效果。首先将多光谱图像的每个谱段进行快速9/72D DWT,消除多光谱图像的大部分 空间冗余；然后对所有谱段产生的小波系数进行改进的KLT,来消除光谱冗余和残存的空 间冗余；最后对所得谱段产生的小波系数进行改进的KLT,来消除光谱冗余和残存的空间冗 余；最后对所得系数进行熵编码,得到压缩码流。实验结果表明,在码率为0.25～2.0bit/ pixel范围内,平均信噪比(SNR)高于41dB,同时缩短了运 算时间,从而提升了多光谱图像压 缩算法的性能。
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| 关 键 词： | 多光谱 图像压缩 Karhunen-Loeve变换(KLT) 信噪比(SNR) |
| 收稿时间： | 2014/12/12 0:00:00 |
A compression algorithm of multispectral images based on improved Karhunen-Loeve transform |
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| XU Dong-dong,FU Tian-jiao,ZHANG Yu,ZHANG X ing-xiang and REN Jian-yue.A compression algorithm of multispectral images based on improved Karhunen-Loeve transform[J].Journal of Optoelectronics·laser,2015,26(6):1200-1205. |
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| Authors: | XU Dong-dong FU Tian-jiao ZHANG Yu ZHANG X ing-xiang and REN Jian-yue |
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| Affiliation: | Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of S ciences,Changchun 130033,China ;University of Chinese Academy of Sciences,Bei jing 100039,China;Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of S ciences,Changchun 130033,China;Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of S ciences,Changchun 130033,China;Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of S ciences,Changchun 130033,China;Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of S ciences,Changchun 130033,China |
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| Abstract: | An effective compression algorithm of multispectral images based on discrete wavelet transform(DWT)and improved Kar h unen-Loeve transform (KLT) is proposed in this paper.It could achieve better performance with effective combination of the two methods which c onvert the energy of images to a small number of coefficients.In order to reduce the most redundancy of space,it deals with each spectrum using fast 9/72-D DWT firstly.Then the spectral 1-D KLT is appl ied on the 2-D DWT coefficients to reduce spectral redundancy and spatial redundancy remnantly.Fin ally,entropy coding is executed to obtain the compressed code stream.Within 0.25-2.0bit/pixel range,t he average peak signal to noise ratio (SNR) of the proposed compression algorithm could be impro ved greatly compared with other approaches,which reduces the operating time and improves the per formance of multi-spectral image compression algorithm,verifies the correctness and feasib ility of our method.The work in this paper has a good reference value for simila r cases. |
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