Effective compression of hyperspectral imagery using improved three dimensional discrete cosine transform

Tong Qiao, Jinchang Ren, Cameron Craigie, Stephen Marshall, Charlotte Maltin

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Though hyperspectral imaging (HSI, or hypercube) has been applied in a wide range of applications, it suffers from massive volume of data for efficient data storage and transmission. Herein improved 3D discrete cosine transform (DCT) is proposed with good results yielded. Experiments on several datasets have validated the efficacy of our approach. 

Original languageEnglish
Title of host publication6th UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT), 2013
Place of PublicationPiscataway, New Jersey
PublisherIEEE
Number of pages2
DOIs
Publication statusPublished - 2013
Event2013 6th UK, Europe, China Millimeter Waves and THz Technology Workshop, UCMMT 2013 - Rome, Italy
Duration: 9 Sep 201311 Sep 2013

Conference

Conference2013 6th UK, Europe, China Millimeter Waves and THz Technology Workshop, UCMMT 2013
CountryItaly
CityRome
Period9/09/1311/09/13

Keywords

  • 3-D transform
  • discrete cosine transform (DCT)
  • hypercube
  • image compression

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  • Prizes

    Best Student Paper Award

    Tong Qiao (Recipient), Ren, Jinchang (Recipient) & Marshall, Stephen (Recipient), Sep 2013

    Prize: Prize (including medals and awards)

    File
  • Cite this

    Qiao, T., Ren, J., Craigie, C., Marshall, S., & Maltin, C. (2013). Effective compression of hyperspectral imagery using improved three dimensional discrete cosine transform. In 6th UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT), 2013 [6641541] IEEE. https://doi.org/10.1109/UCMMT.2013.6641541