An improved shift estimation algorithm for infrared sequences

Chong Liang Liu*, Wei Qi Jin, Jin Li Xiu, Xiu Liu, Bin Liu, Yong Jie Fan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

An improved algorithm for estimating the global movement of infrared sequences with fixed pattern noise (FPN) is proposed. One of the challenges in practical infrared sub-pixel motion estimation is how to obtain high accuracy with sufficient robustness to additive noise. Motivated by the fact that adaptive filter has the ability to suppress the noise, an improved sub-pixel registration method for infrared image sequences was introduced. The proposed algorithm used an adaptive filter to suppress noise, and then derived the motion estimation analytic expression by minimizing the mean-squared-error (MSE) function between the reference and target frames. Computer simulations and actual experiments' results demonstrate the superiority and adaptability of the proposed algorithm, compared with the ordinary sub-pixel motion estimation method when noise exists.

Original languageEnglish
Pages (from-to)818-822
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume31
Issue number7
Publication statusPublished - Jul 2011

Keywords

  • Adaptive filter
  • Fixed pattern noise
  • Infrared imaging
  • Sub-pixel motion estimation

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