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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2008  >  37(6): 890-892,950

RONG Jian, SHEN Jin-e, DING Xue-ke, LI Fang, KUANG Ai-hua, LIU Wen-xin. Improved Model for Restoring Turbulence Degraded Image[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 890-892,950.
Citation: RONG Jian, SHEN Jin-e, DING Xue-ke, LI Fang, KUANG Ai-hua, LIU Wen-xin. Improved Model for Restoring Turbulence Degraded Image[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 890-892,950.
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Improved Model for Restoring Turbulence Degraded Image

  • 1.

    School of Physical Electronic,University of Electronic Science and Technology Chengdu 610054

  • Received Date: 2007-05-08
  • Rev Recd Date: 2007-11-23
  • Publish Date: 2008-12-15
  • A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. This new model is derived from the wave structure function and refractive index profiles considering turbulence internal and external scale and thin lens imaging degradation function. Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence. Aiming at the turbulent degraded images comprising aircraft targets, constrained least squares filtering method is used to test the recovery power of the new degradation model. Simulation results show the effectiveness of the new model.
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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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Improved Model for Restoring Turbulence Degraded Image

  • 1. School of Physical Electronic,University of Electronic Science and Technology Chengdu 610054
  • Received Date: 2007-05-08
  • Rev Recd Date: 2007-11-23
  • Publish Date: 2008-12-15

Abstract: A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. This new model is derived from the wave structure function and refractive index profiles considering turbulence internal and external scale and thin lens imaging degradation function. Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence. Aiming at the turbulent degraded images comprising aircraft targets, constrained least squares filtering method is used to test the recovery power of the new degradation model. Simulation results show the effectiveness of the new model.

RONG Jian, SHEN Jin-e, DING Xue-ke, LI Fang, KUANG Ai-hua, LIU Wen-xin. Improved Model for Restoring Turbulence Degraded Image[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 890-892,950.
Citation: RONG Jian, SHEN Jin-e, DING Xue-ke, LI Fang, KUANG Ai-hua, LIU Wen-xin. Improved Model for Restoring Turbulence Degraded Image[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 890-892,950.
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