Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 7,
  • Issue 3,
  • pp. 206-209
  • (2009)

New enhancement of infrared image based on human visual system

Not Accessible

Your library or personal account may give you access

Abstract

Infrared images are firstly analyzed using the multifractal theory so that the singularity of each pixel can be extracted from the images. The multifractal spectrum is then estimated, which can reflect overall characteristic of an infrared image. Thus the edge and texture of an infrared image can be accurately extracted based on the singularity of each pixel and the multifractal spectrum. Finally the edge pixels are classified and enhanced in accordance with the sensitivity of human visual system to the edge profile of an infrared image. The experimental results obtained by this approach are compared with those obtained by other methods. It is found that the proposed approach can be used to highlight the edge area of an infrared image to make an infrared image more suitable for observation by human eyes.

© 2009 Chinese Optics Letters

PDF Article
More Like This
Image contrast enhancement method based on display and human visual system characteristics

Guo Chen, Li Li, Weiqi Jin, Mingcong Liu, and Feng Shi
Appl. Opt. 58(7) 1813-1823 (2019)

Infrared target detection method based on the receptive field and lateral inhibition of human visual system

Shangnan Zhao, Yong Song, Yufei Zhao, Yun Li, Lin Li, Qun Hao, and Maoyuan Li
Appl. Opt. 56(30) 8555-8563 (2017)

Image-detector model and parameters of the human visual system*

Alvin D. Schnitzler
J. Opt. Soc. Am. 63(11) 1357-1368 (1973)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved