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Volume 40 Issue 2
Dec.  2015
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Heat source restoration of infrared images based on Gaussian point spread function

  • Received Date: 2015-01-23
    Accepted Date: 2015-03-23
  • In order to restore the heat source in infrared images, Gaussian point spread function (PSF) was presented to improve the definition and contrast of infrared heat source. Firstly, the PSF of the heat source images was determined and the degradation model was established. Wiener filtering was used to restore the infrared radiation source and the color information of temperature field was restored by YIQ transform. Finally, the restoration image was evaluated quantitatively by edge acutance value (EAV) and standard deviation, and the restoration method was compared with blind restoration algorithm. The results show that EAV and standard deviation increase 0.502% and 0.124% respectively. The restoration method of heat source of infrared images based on Gaussian point spread function is effective obviously.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Heat source restoration of infrared images based on Gaussian point spread function

  • 1. School of Information Science and Engineering, Changzhou University, Changzhou 213164, China

Abstract: In order to restore the heat source in infrared images, Gaussian point spread function (PSF) was presented to improve the definition and contrast of infrared heat source. Firstly, the PSF of the heat source images was determined and the degradation model was established. Wiener filtering was used to restore the infrared radiation source and the color information of temperature field was restored by YIQ transform. Finally, the restoration image was evaluated quantitatively by edge acutance value (EAV) and standard deviation, and the restoration method was compared with blind restoration algorithm. The results show that EAV and standard deviation increase 0.502% and 0.124% respectively. The restoration method of heat source of infrared images based on Gaussian point spread function is effective obviously.

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