Onboard low-complexity compression of solar stereo images

S. Wang, Lijuan Cui, Samuel Cheng, Lina Stankovic, Vladimir Stankovic

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

We propose an adaptive distributed compression solution using particle filtering that tracks correlation, as well as performing disparity estimation, at the decoder side. The proposed algorithm is tested on the stereo solar images captured by the twin satellites system of NASA's Solar TErrestrial RElations Observatory (STEREO) project. Our experimental results show improved compression performance w.r.t. to a benchmark compression scheme, accurate correlation estimation by our proposed particle-based belief propagation algorithm, and significant peak signal-to-noise ratio improvement over traditional separate bit-plane decoding without dynamic correlation and disparity estimation.
Original languageEnglish
Pages (from-to)3114 - 3118
Number of pages5
JournalIEEE Transactions on Image Processing
Volume21
Issue number6
DOIs
Publication statusPublished - Jun 2012

Keywords

  • remote sensing
  • image coding
  • stereo image processing
  • data compression
  • solar stereo images

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