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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 19 — Jul. 1, 2014
  • pp: 4141–4149

Infrared image detail enhancement based on the gradient field specification

Wenda Zhao, Zhijun Xu, Jian Zhao, Fan Zhao, and Xizhen Han  »View Author Affiliations

Applied Optics, Vol. 53, Issue 19, pp. 4141-4149 (2014)

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Human vision is sensitive to the changes of local image details, which are actually image gradients. To enhance faint infrared image details, this article proposes a gradient field specification algorithm. First we define the image gradient field and gradient histogram. Then, by analyzing the characteristics of the gradient histogram, we construct a Gaussian function to obtain the gradient histogram specification and therefore obtain the transform gradient field. In addition, subhistogram equalization is proposed based on the histogram equalization to improve the contrast of infrared images. The experimental results show that the algorithm can effectively improve image contrast and enhance weak infrared image details and edges. As a result, it can give qualified image information for different applications of an infrared image. In addition, it can also be applied to enhance other types of images such as visible, medical, and lunar surface.

© 2014 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.2980) Image processing : Image enhancement
(100.5010) Image processing : Pattern recognition

ToC Category:
Image Processing

Original Manuscript: January 6, 2014
Revised Manuscript: May 7, 2014
Manuscript Accepted: May 13, 2014
Published: June 23, 2014

Virtual Issues
Vol. 9, Iss. 9 Virtual Journal for Biomedical Optics

Wenda Zhao, Zhijun Xu, Jian Zhao, Fan Zhao, and Xizhen Han, "Infrared image detail enhancement based on the gradient field specification," Appl. Opt. 53, 4141-4149 (2014)

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