Main > Chinese Optics Letters >  Volume 6 >  Issue 5 >  Page 331 > Article
  • Abstract
  • Abstract
  • References (13)
  • Suppl. Mat.
  • Cited By (1/0)
  • Get PDF
  • Paper Information
  • Received: Aug. 28, 2007

    Accepted: --

    Posted: May. 20, 2008

    Published Online: May. 20, 2008

    The Author Email: Keyan Wang (kywang@)

    DOI:

  • Get Citation
  • Copy Citation Text

    Keyan Wang, Chengke Wu, Fanqiang Kong, Lei Zhang. An improved partial SPIHT with classified weighted rate-distortion optimization for interferential multispectral image compression[J]. Chinese Optics Letters, 2008, 6(5): 331

    Download Citation

  • Share
Chinese Optics Letters, Vol. 6, Issue 5, 331 (2008)

An improved partial SPIHT with classified weighted rate-distortion optimization for interferential multispectral image compression

Keyan Wang*, Chengke Wu, Fanqiang Kong, and Lei Zhang

Author Affiliations

  • State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071

Abstract

Based on the property analysis of interferential multispectral images, a novel compression algorithm of partial set partitioning in hierarchical trees (SPIHT) with classified weighted rate-distortion optimization is presented. After wavelet decomposition, partial SPIHT is applied to each zero tree independently by adaptively selecting one of three coding modes according to the probability of the significant coefficients in each bitplane. Meanwhile the interferential multispectral image is partitioned into two kinds of regions in terms of luminous intensity, and the rate-distortion slopes of zero trees are then lifted with classified weights according to their distortion contribution to the constructed spectrum. Finally a global rate-distortion optimization truncation is performed. Compared with the conventional methods, the proposed algorithm not only improves the performance in spatial domain but also reduces the distortion in spectral domain.

keywords