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Volume 40 Issue 2
Dec.  2015
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Visible light image enhancement based on polarization imaging

  • Corresponding author: GU Guohua, gghnjust@jsmail.com.cn
  • Received Date: 2015-03-10
    Accepted Date: 2015-04-10
  • In order to improve the image quality and recognition of an artificial target hidden in the natural background, an enhancement method of the visible light image based on the polarization imaging was put forward to highlight the artificial target and provide more details and texture information. Firstly, the degree of polarization, polarization angle and ellipticity angle of the image were obtained based on polarization imaging. Secondly, the polarization characteristics were obtained after the pixels in the multidimensional image clustered in the Poincare sphere. Fianlly, the intensity image and the polarization characteristic image was decomposed by means of the dual tree complex wavelet transform. The principal component analysis was used in the low frequency sub-band and the feature fusion strategy based on the region variance was used in the high frequency sub-band, then the enhancement image was obtained. The outdoor experiment was performed to test the effectiveness of the algorithm proposed in the paper. After the theoretical analysis, the performance index of each image was obtained. The results of the subjective and objective evaluation both show that the enhancement image has more details and polarization information, which are important for target recognition and detection.
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Visible light image enhancement based on polarization imaging

    Corresponding author: GU Guohua, gghnjust@jsmail.com.cn
  • 1. Department of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China

Abstract: In order to improve the image quality and recognition of an artificial target hidden in the natural background, an enhancement method of the visible light image based on the polarization imaging was put forward to highlight the artificial target and provide more details and texture information. Firstly, the degree of polarization, polarization angle and ellipticity angle of the image were obtained based on polarization imaging. Secondly, the polarization characteristics were obtained after the pixels in the multidimensional image clustered in the Poincare sphere. Fianlly, the intensity image and the polarization characteristic image was decomposed by means of the dual tree complex wavelet transform. The principal component analysis was used in the low frequency sub-band and the feature fusion strategy based on the region variance was used in the high frequency sub-band, then the enhancement image was obtained. The outdoor experiment was performed to test the effectiveness of the algorithm proposed in the paper. After the theoretical analysis, the performance index of each image was obtained. The results of the subjective and objective evaluation both show that the enhancement image has more details and polarization information, which are important for target recognition and detection.

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