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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 22, Iss. 16 — Aug. 11, 2014
  • pp: 19523–19537

Image dehazing using polarization effects of objects and airlight

Shuai Fang, XiuShan Xia, Xing Huo, and ChangWen Chen  »View Author Affiliations

Optics Express, Vol. 22, Issue 16, pp. 19523-19537 (2014)

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The analysis of polarized filtered images has been proven useful in image dehazing. However, the current polarization-based dehazing algorithms are based on the assumption that the polarization is only associated with the airlight. This assumption does not hold up well in practice since both object radiance and airlight contribute to the polarization. In this study, a new polarization hazy imaging model is presented, which considers the joint polarization effects of the airlight and the object radiance in the imaging process. In addition, an effective method to synthesize the optimal polarized-difference (PD) image is introduced. Then, a decorrelation-based scheme is proposed to estimate the degree of polarization for the object from the polarized image input. After that, the haze-free image can be recovered based on the new polarization hazy imaging model. The qualitative and quantitative experimental results verify the effectiveness of this new dehazing scheme. As a by-product, this scheme also provides additional polarization properties of the objects in the image, which can be used in extended applications, such as scene segmentation and object recognition.

© 2014 Optical Society of America

OCIS Codes
(100.2980) Image processing : Image enhancement
(100.3020) Image processing : Image reconstruction-restoration

ToC Category:
Image Processing

Original Manuscript: May 13, 2014
Revised Manuscript: July 3, 2014
Manuscript Accepted: July 9, 2014
Published: August 5, 2014

Shuai Fang, XiuShan Xia, Xing Huo, and ChangWen Chen, "Image dehazing using polarization effects of objects and airlight," Opt. Express 22, 19523-19537 (2014)

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