Regular Articles

Parallel implementation of linear prediction model for lossless compression of hyperspectral airborne visible infrared imaging spectrometer images

[+] Author Affiliations
Jarno Mielikainen, Pekka Toivanen

Lappeenranta University of Technology, Department of Information Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland E-mail: mielikai@lut.fi

J. Electron. Imaging. 14(1), 013010 (Feb. 24, 2005). doi:10.1117/1.1867998
History: Received Jul. 16, 2003; Revised Jan. 8, 2004; Accepted Apr. 2, 2004; Feb. 24, 2005; Online February 24, 2005
Text Size: A A A

We present the implementation of a lossless hyperspectral image compression method for novel parallel environments. The method is an interband version of a linear prediction approach for hyperspectral images. The interband linear prediction method consists of two stages: predictive decorrelation that produces residuals and the entropy coding of the residuals. The compression part is embarrassingly parallel, while the decompression part uses pipelining to parallelize the method. The results and comparisons with other methods are discussed. The speedup of the thread version is almost linear with respect to the number of processors. © 2005 SPIE and IS&T.

© 2005 SPIE and IS&T

Citation

Jarno Mielikainen and Pekka Toivanen
"Parallel implementation of linear prediction model for lossless compression of hyperspectral airborne visible infrared imaging spectrometer images", J. Electron. Imaging. 14(1), 013010 (Feb. 24, 2005). ; http://dx.doi.org/10.1117/1.1867998


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.