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SAR image compression using HVS model

  • Aili Wang*
  • , Ye Zhang
  • , Yanfeng Gu
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Generally synthetic aperture radar (SAR) image compression methods based on wavelet transform remove statistic redundancy of image data and neglect visual redundancy. In view of this problem, a new image compression method based on human visual system (HYS) is proposed in this paper. First SAR image is decomposed by wavelet transform, then wavelet coefficients in different subbands are weighted by the peak of contrast sensitivity function (CSF) curve in wavelet domain, at last set partitioning in hierarchical trees (SPIHT) algorithm is used to code the weighted wavelet coefficients to form embedded bit stream. Compression results show that comparing with conventional SPIHT algorithm, the method proposed in this paper gets better subject visual quality at the same compression ratio with almost equivalent objective evaluation results.

Original languageEnglish
Title of host publication2006 CIE International Conference on Radar, RADAR 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780395824, 9780780395824
DOIs
StatePublished - 2006
Event2006 CIE International Conference on Radar, RADAR 2006 - Shanghai, China
Duration: 16 Oct 200619 Oct 2006

Publication series

NameCIE International Conference of Radar Proceedings

Conference

Conference2006 CIE International Conference on Radar, RADAR 2006
Country/TerritoryChina
CityShanghai
Period16/10/0619/10/06

Keywords

  • Contrast sensitivity function(CSF)
  • Human visual system(HVS)
  • SAR image compression
  • Set partitioning in hierarchical trees(SPIHT) algorithm

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