| 一种基于三维整型DCT变换的高光谱图像无损压缩方法 |
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| 引用本文： | 柴焱,张晓玲,沈兰荪. 一种基于三维整型DCT变换的高光谱图像无损压缩方法[J]. 电路与系统学报, 2006, 11(2): 30-32,29 |
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| 作者姓名： | 柴焱 张晓玲 沈兰荪 |
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| 作者单位： | 北京工业大学,信号与信息处理实验室,北京,100022 |
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| 基金项目： | 北京市科研项目，国家自然科学基金 |
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| 摘 要： | 本文根据高光谱图像具有空间和谱间相关性的特点,提出一种基于三维整型DCT变换的无损压缩方法.首先采用三维整型DCT变换消除高光谱图像空间和谱间的相关性;然后,对变换系数进行类似小波的树状系数重组,并按子带顺序进行一阶自适应算术编码.实验结果表明,本文提出的方法与JPEG2000中无损压缩算法相比,平均比特率降低0.1～0.4bpp;与JPEG-LS相比,平均比特率降低0.01～0.2bpp.
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| 关 键 词： | 高光谱图像 整型DCT 自适应算术编码 无损压缩 |
| 文章编号： | 1007-0249（2006）02-0030-03 |
| 收稿时间： | 2003-11-05 |
| 修稿时间： | 2003-12-09 |
Lossless compression of hyperspectral Image based on 3-D integer DCT |
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| CHAI Yan,ZHANG Xiao-ling,SHEN Lan-sun. Lossless compression of hyperspectral Image based on 3-D integer DCT[J]. Journal of Circuits and Systems, 2006, 11(2): 30-32,29 |
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| Authors: | CHAI Yan ZHANG Xiao-ling SHEN Lan-sun |
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| Abstract: | This paper presents a three-dimension integer reversible DCT scheme to compress the data losslessly according to the characteristic of hyperspectral data. First, the data are decorrelated spatially and spectrally using three-dimension integer DCT method, then DCT-based coefficients-reordering and Zigzag scanning by subbands are applied to improve the coding efficiency before the context-based adaptive arithmetic coding (AAC). Experiments show that the performance of the present method is evident: 0.1~0.4bpp is saved with respect to JPEG2000, and 0.01~0.2bpp is saved with respect to JPEG-LS on average. |
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| Keywords: | hyperspectral image integer DCT context-based AAC lossless compression |
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