Compression for MODIS multispectral images

被引：0
作者：
Li, Yuan-Xiang [1 ]
Deng, Li [2 ]
Jing, Zhong-Liang [1 ]
机构：
[1] Institute of Aerospace Science and Technology, Shanghai Jiaotong University
[2] Institute of Meteorology, PLA University of Science and Technology
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2008年 / 30卷 / 10期
关键词：
Integer wavelet transform; MODIS multispectral images; Optimal prediction; SPIHT code;
D O I：
10.3724/sp.j.1146.2007.00469
中图分类号：
学科分类号：
摘要：
In order to store MODIS multispectral images effectively, a new hybrid compression algorithm based on optimal inter-band prediction and integer wavelet transform is proposed. First, an optimal inter-band predictor is designed for de-correlating the spectral redundancy, and the error images are created for later use. Next, spatial redundancy is removed by using an efficient integer wavelet coding method and SPIHT algorithm. Then, the adaptive arithmetic encoder is employed for binary code stream. The proposed method can implement the lossless compression, near-lossless compression and lossy compression with high compression ratio. The experimental results show that this method is more efficient than the traditional 3D-SPIHT algorithm and other wavelet transform methods with different wavelet bases.
引用
收藏
页码：2352 / 2355
页数：3
相关论文
共 9 条
  • [1] Kaarna A., Parkkine J., Transform based lossy compression of multispectral images, Pattern Analysis and Applications, 4, 1, pp. 39-50, (2001)
  • [2] Tang C., Et al., Efficient inter-band prediction and wavelet based compression for hyperspectral imagery: A distributed Source coding approach, Data Compression Conference, pp. 437-446, (2005)
  • [3] Wu Z., He M.-Y., Multispectral imagery compression by hybrid DWT and partitioning DPCM, Journal of Electronics and Information Technology, 25, 6, pp. 747-754, (2003)
  • [4] Fu W.X., Wang S.G., Gao Y.M., Et al., Application of SPIHT with vector quantization to compression of multispectral image, Journal of China Institute of Communications, 25, 6, pp. 109-114, (2004)
  • [5] Dragotti P.L., Poggi G., Ragozini A., Compression of multispectral images by three-dimensional SPIHT algorithm, IEEE Trans. on Geoscience and Remote Sensing, 38, 1, pp. 416-428, (2000)
  • [6] Ma C.G., Guo L., Hyperspectral image compression based on 3D SPIHT coding algorithm, Chinese Journal of Quantum Electronics, 22, 5, pp. 680-684, (2005)
  • [7] Guo G.M., Eliminating bowtie effect of MODIS data without Ephemeris, Remote Sensing Technology and Application, 18, 3, pp. 172-175, (2003)
  • [8] Said A., Pealman W.A., A new, fast, and efficient image codec based on set partitioning in hierarchical trees, IEEE Trans. on Circuits and Systems for Video Technology, 6, 3, pp. 243-250, (1996)
  • [9] Wu X., Memon N., Context-based lossless interband compression-extending CALIC, IEEE Trans. on Image Processing, 9, 6, pp. 994-1001, (2000)
1