Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Image contrast enhancement method based on display and human visual system characteristics

Not Accessible

Your library or personal account may give you access

Abstract

At the present time, there are many image contrast enhancement methods where the main considerations are detail enhancement, noise suppression, and high contrast suppression. Traditional methods ignore the characteristics of the display or merely consider the display as a whole. However, due to the limited dynamic range of most display devices on the market, the difference between two adjacent grayscales of the display is often below the just noticeable difference of the human visual systems, which causes many image details to be invisible on the display. To solve this problem, we present a preprocessing method for image contrast enhancement. The method combines the characteristics of the human eye and the display to enhance the image by examining the local histogram. When displaying the processed image, the algorithm maintains as much image information as possible, and image details will not be lost due to the limits of the display device. Moreover, this algorithm performs well for noise suppression and high contrast suppression. The algorithm is an image enhancement method and can also be a correction method for images enhanced by other methods when prepared for display.

© 2019 Optical Society of America

Full Article  |  PDF Article
More Like This
Infrared image enhancement algorithm based on adaptive histogram segmentation

Jun Huang, Yong Ma, Ying Zhang, and Fan Fan
Appl. Opt. 56(35) 9686-9697 (2017)

Dynamic range compression and detail enhancement algorithm for infrared image

Gang Sun, Songlin Liu, Weihua Wang, and Zengping Chen
Appl. Opt. 53(26) 6013-6029 (2014)

Lower-upper-threshold correlation for underwater range-gated imaging self-adaptive enhancement

Liang Sun, Xinwei Wang, Xiaoquan Liu, Pengdao Ren, Pingshun Lei, Jun He, Songtao Fan, Yan Zhou, and Yuliang Liu
Appl. Opt. 55(29) 8248-8255 (2016)

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

Figures (17)

You do not have subscription access to this journal. Figure files 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

Tables (3)

You do not have subscription access to this journal. Article tables 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

Equations (11)

You do not have subscription access to this journal. Equations 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