Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 738735, 8 pages
http://dx.doi.org/10.1155/2014/738735
Research Article

Multispectral Image Compression Based on DSC Combined with CCSDS-IDC

Jin Li,1,2 Fei Xing,1,2 Ting Sun,1,2 and Zheng You1,2

1Department of Precision Instrument, The State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, China
2Collaborative Innovation Center for Micro/Nano Fabrication, Device and System, China

Received 17 April 2014; Revised 11 June 2014; Accepted 19 June 2014; Published 7 July 2014

Academic Editor: Brajesh K. Kaushik

Copyright © 2014 Jin Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Imani and H. Ghassemian, “Band clustering-based feature extraction for classification of hyperspectral images using limited training samples,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 8, pp. 1325–1329, 2014. View at Publisher · View at Google Scholar
  2. M. Pantazis, B. van Gorp, O. Robert et al., “Portable remote imaging spectrometer coastal ocean sensor: design, characteristics, and first flight results,” Applied Optics, vol. 53, no. 7, pp. 1363–1380, 2014. View at Publisher · View at Google Scholar
  3. K. Mukherjee, A. Bhattacharya, J. K. Ghosh, and M. K. Aroraa, “Comparative performance of fractal based and conventional methods for dimensionality reduction of hyperspectral data,” Optics and Lasers in Engineering, vol. 55, pp. 267–274, 2014. View at Publisher · View at Google Scholar
  4. R. Ji, Y. Gao, R. Hong et al., “Spectral-spatial constraint hyperspectral image classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 3, pp. 1811–1824, 2014. View at Google Scholar
  5. H. Zhao, P. Zhou, Y. Zhang et al., “Development of a dual-path system for band-to-band registration of an acousto-optic tunable filter-based imaging spectrometer,” Optics Letters, vol. 38, no. 22, pp. 4120–4123, 2013. View at Publisher · View at Google Scholar
  6. A. Aggoun, “Compression of 3D integral images using 3D wavelet transform,” IEEE/OSA Journal of Display Technology, vol. 7, no. 11, pp. 586–592, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Nichols, H. Kim, A. A. Humos, and H. J. Cho, “A performance evaluation on DCT and wavelet-based compression methods for remote sensing images based on image content,” in Proceedings of the 17th International Conference on Geoinformatics (Geoinformatics '09), vol. 1, pp. 454–458, August 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. J. M. Shapiro, “An embedded wavelet hierarchical image coder,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '92), vol. 4, pp. 657–660, San Francisco, Calif, USA, March 1992. View at Publisher · View at Google Scholar
  9. I. Blanes and J. Serra-Sagrista, “Cost and scalability improvements to the Karhunen-Loêve transform for remote-sensing image coding,” IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 7, pp. 2854–2863, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Taubman, “High performance scalable image compression with EBCOT,” IEEE Transactions on Image Processing, vol. 9, no. 7, pp. 1158–1170, 2000. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Lu, L. Zhang, and T. Zhang, “JPEG2000-based optimization algorithm for effective compression display of remote sensing images,” Applied Mechanics and Materials, vol. 327, pp. 1602–1609, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. F. Garcia-Vilchez and J. Serra-Sagrista, “Extending the CCSDS recommendation for image data compression for remote sensing scenarios,” IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 7, pp. 3431–3445, 2009. View at Publisher · View at Google Scholar
  13. Y. Zhang, H. Cao, H. Jiang, and B. Li, “Visual distortion sensitivity modeling for spatially adaptive quantization in remote sensing image compression,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 4, pp. 723–727, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. D. Valsesia and E. Magli, “A novel rate control algorithm for on board predictive coding of multispectral and hyperspectral images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6341–6355, 2014. View at Google Scholar
  15. U. Bayazit, “Adaptive spectral transform for wavelet-based color image compression,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 7, pp. 983–992, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. A. J. S. Dutra, W. A. Pearlman, and E. A. B. da Silva, “Successive approximation wavelet coding of AVIRIS hyperspectral images,” IEEE Journal on Selected Topics in Signal Processing, vol. 5, no. 3, pp. 370–385, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Leibo, N. Chen, H. Meng, and L. Zhang, “A VLSI architecture of JPEG2000 encoder,” IEEE Journal of Solid-State Circuits, vol. 39, no. 11, pp. 2032–2040, 2004. View at Publisher · View at Google Scholar
  18. K. Mathiang and O. Chitsobhuk, “Efficient pass-pipelined VLSI architecture for context modeling of JPEG2000,” in Proceedings of the Asia-Pacific Conference on Communications (APCC '07), pp. 63–66, 2007.
  19. W. Huaichao, C. Jun, G. Xiaodong et al., “High speed and bi-mode image compression core for onboard space application,” in Proceedings of the SPIE-The International Society for Optical Engineering, vol. 7651, pp. 765122–765127, 2010.
  20. A. Lin, C. F. Chang, C. M. Lin et al., “High-performance computing in remote sensing image compression,” in Proceedings of the Conference on High-Performance Computing in Remote Sensing, vol. 8183, 2011.
  21. Y.-H. Seo and D.-W. Kim, “VLSI architecture of line-based lifting wavelet transform for motion JPEG2000,” IEEE Journal of Solid-State Circuits, vol. 42, no. 2, pp. 431–440, 2007. View at Publisher · View at Google Scholar · View at Scopus