A compression algorithm of AT-3DSPIHT for LASIS's hyperspectral image

被引：0
作者：
Ma D. [1 ,2 ]
Ma C. [1 ]
Luo C. [1 ,2 ]
机构：
[1] Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an
[2] Graduate University, Chinese Academy of Sciences
来源：
Guangxue Xuebao/Acta Optica Sinica | 2010年 / 30卷 / 02期
关键词：
Asymmetric 3D set partitioning in hierarchical trees; Hyperspectral image compression; Information optics; Large-aperture static imaging spectrometer; Region of interest (ROI);
D O I：
10.3788/AOS20103002.0378
中图分类号：
学科分类号：
摘要：
A compression algorithm of asymmetric 3D set partitioning in hierarchical trees (AT-3DSPIHT) supporting region of interest (ROI) is proposed for imaging characteristics of large-aperture static imaging spectrometer (LASIS). Firstly, the hyperspectral image sequences are decomposed with asymmetric 3D discrete wavelet transform (3D-DWT). Secondly, different coding precisions are assigned to wavelet coefficients in different regions by the method of ROI to protect the hyperspectral information. Finally, the transformed images are encoded with the adapted 3D set partitioning in hierarchical trees (3DSPIHT) algorithm. The experimental results show that the peak signal-to-noise ratio (PSNR) is more than 40 dB at 8:1 compression rate, and the efficient protection of hyperspectral information is achieved.
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页码：378 / 381
页数：3
相关论文
共 15 条
[1]  
Deng J., Li T., Interference hyperspectral images compression based on classification and curve fitting, Acta Optica Sinica, 27, 1, pp. 45-51, (2007)
[2]  
Hou Y., Liu G., Three-dimensional set partitioned embedded zero block coding algorithm for hyper spectral image compression, Acta Optica Sinica, 28, 1, pp. 67-73, (2008)
[3]  
Li Y., Kong F., Wu C., Et al., Interference multi-spectral image compression based on distributed source coding, Acta Optica Sinica, 28, 8, pp. 1463-1468, (2008)
[4]  
Dutra A.J.S., Pearlman W.A., da Silva E.A.B., Compression of hyperspectral images with LVQ-SPECK, IEEE Proc. Data Compression Conf., pp. 93-102, (2008)
[5]  
Li Y., Ma J., Wu C., Three-dimensional orientation prediction-based wavelet transform for interference multi-spectral images compression, Acta Optica Sinica, 28, 12, pp. 2281-2287, (2008)
[6]  
Tang X., Cho S., Pearlman W.A., 3D set partitioning coding methods in hyperspectral image compression, IEEE Internat. Conf. Image Processing, 2, pp. 239-242, (2003)
[7]  
Dong Y., Xiangli B., Zhao B., Analysis of interferometer system in a large aperture static imaging spectrometer, Acta Optica Sinica, 21, 3, pp. 330-334, (2001)
[8]  
Li X., Kong F., Interference multi-spectral image compression based on weighted rate-distortion slop lifting, Acta Photonica Sinica, 36, s1, pp. 290-294, (2007)
[9]  
Atsumi E., Farvardin N., Lossy/lossless region-of-interest image coding based on set partitioning in hierarchical trees, Internat. Conf. Image Processing (ICIP-98), 1, pp. 87-91, (1998)
[10]  
Park K.-H., Lee C.S., Park H.W., A multiresolutional coding method based on SPIHT, Signal Processing: Image Communication, 2195, pp. 951-956, (2001)
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