Super-Resolution Technique of HSI

  • Liguo WangEmail author
  • Chunhui Zhao


Hyperspectral imagery has been more widely used, but lower spatial resolution seriously affects its application effect. How to improve the spatial resolution has been highly valued by the academic world, but has not been solved yet.


Interpolation Method Hyperspectral Image Hyperspectral Imagery Pixel Point Edge Preservation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Alfred M, Bruckstein ME, Ron K (2003) Down-scaling for better transform compression. IEEE Trans Image Process 12(9):66–81Google Scholar
  2. Li X, Orchard MT (2001a) Edge-directed prediction for lossless compression of natural images. IEEE Trans Image Process 10(6):813–817CrossRefGoogle Scholar
  3. Li X, Orchard MT (2001b) New edge-directed interpolation. IEEE Trans Image Process 10(10):1521–1527CrossRefGoogle Scholar
  4. Meng QW (2004) Satellite image restoration and treatment of MAP estimation algorithm based on super resolution[D]. Postdoctoral research report on the work of the Harbin Institute of TechnologyGoogle Scholar
  5. Rodrigues L, Borges DL, Goncalves LM (2002) A locally adaptive edge-preserving algorithm for image interpolation. Proc Braz Symp Comput Graph Image Process XV: 7–10Google Scholar
  6. Wang Z, Bovik AC, Lu L (2002) Why is image quality assessment so difficult. IEEE Int Conf 4:13–17Google Scholar

Copyright information

© National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Harbin Engineering UniversityHarbinChina

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