A New De-noising Method for Infrared Spectrum

  • Qingwei Gao
  • De Zhu
  • Yixiang Lu
  • Dong Sun
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 304)


Selecting the most appropriate algorithms for reducing the noise component in infrared spectrum is very necessary, since the infrared signal is often corrupted by noise. To solve this problem, a novel de-noising method based on the null space pursuit (NSP) is proposed in this paper. The NSP is the adaptive operator-based signal separation approach, which can decompose the signal into sub-band components and the residue according to their characteristics. We consider the residue as noise, because it basically dose not contain any useful information. Then, the sub-band components are used to reconstructing the ideal signal. Experimental results show that the proposed de-noising method is effective in suppressing noise while protecting signal characteristics.


infrared spectrum de-noising null space pursuit 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Qingwei Gao
    • 1
  • De Zhu
    • 1
  • Yixiang Lu
    • 1
  • Dong Sun
    • 1
  1. 1.College of Electrical Engineering and AutomationAnhui UniversityHefeiChina

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