(38-4) 33 * <<>> * Russian * English * Content * All Issues

Hyperspectral data compression based on a transform coding method
M.A. Chicheva
, R.R. Yuzkiv

 

Samara State Aerospace University,

Image Processing Systems Institute, Russian Academy of Sciences

PDF, 1191 kB

Full text of article: Russian language.

DOI: 10.18287/0134-2452-2014-38-4-794-803

Pages: 794-803.

Abstract:
A new compression method and an algorithm on its base are proposed in this paper. The approach generalizes the familiar transform coding method to the case of three-dimensional hyperspectral data. The task of selecting the algorithm parameters is solved. The analysis of the algorithm in comparison with the well known image and hyperspectral data compression methods is conducted. Advantages of the proposed algorithm are discussed.

Key words:
hyperspectral data, compression methods, transform coding method, discrete cosine transform.

Citation:
Chicheva MA, Yuzkiv RR. Hyperspectral data compression based on a transform coding method. Computer Optics 2014; 38(4): 794-803. DOI: 10.18287/0134-2452-2014-38-4-794-803.

References:

  1. Computer Image Processing, Part II: Methods and algorithms / A.V. Cher­nov, V.M. Chernov, M.A. Chicheva, V.A. Fursov, M.V. Gashnikov, N.I. Glumov, N.Yu. Ilyasova, A.G. Khramov, A.O. Korepanov, A.V. Kupriyanov, E.V. Myasnikov, V.V. Myasnikov, S.B. Popov, V.V. Sergeyev, V.A. Soifer. – Ed. by V.A. Soifer. – VDM Verlag, 2009. – 584 p.
  2. Pratt, W.K. Digital Image Processing / W.K. Pratt. – NY: John Wiley and Sons, 1978.
  3. Woods, J.W. Multidimensional signal, image, and video processing and coding / J.W. Woods. – Troy, NY: Elseiver Academic Press, 2006. – 493 p.
  4. Hyperspectral Image Compression [Electronical Resource]// NASA Information Processing Group. URL: http://com­pression.jpl.nasa.gov/hyperspectral/.
  5. Gashnikov, M.V. Hierarchical grid interpolation for hyperspectral image compression / M.V. Gashnikov, N.I. Glumov // Computer Optics. – 2014. – Vol. 38(1). – P. 87-93.
  6. Abousleman, G. Compression of hyperspectral imagery using hybrid DPCM/DCT and entropy-constrained trellis coded quantization // DCC '95 Proceedings of the Conference on Data Compression, IEEE Computer Society Washington, DC, USA, 1995. – P. 322.
  7. Tang, X. Hyperspectral Image Compression Using Three-Dimensional Wavelet Coding / X. Tang, A. Pearlman, J. Modestino // Troy, NY, USA: Center for Image Processing Research, Rensselaer Polytechnic Institute, 2002. – 25 p.

© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail:journal@computeroptics.ru; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20