Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 8,
  • Issue 5,
  • pp. 474-477
  • (2010)

Image enhancement algorithm based on NF-ICM

Not Accessible

Your library or personal account may give you access

Abstract

Utilizing the intersecting cortical model (ICM) to enhance degraded images under poor illumination is presented. As the key point, the general mapping function (MF) for image enhancement is deduced firstly on the basis of the nature-firing ICM (NF-ICM), which restrains the traditional autowave effect of blurring details and contrast. Then, the sigmoid MF is especially proposed to map the input gray-level to a more proper range for visual looking, and it solves over-enhancement and artifact by the classical logarithm one. For image enhancement application, the optimized parameters, initial threshold, and stopping condition in NF-ICM are all analyzed in detail. Simulation results prove that the proposed method has more contrasted, colorful, and good-visual performance.

© 2010 Chinese Optics Letters

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)

Terahertz image enhancing based on the physical model and multiscale retinex algorithm

Qi Mao, Yunlong Zhu, and Jingbo Liu
Appl. Opt. 61(28) 8382-8388 (2022)

Double-function enhancement algorithm for low-illumination images based on retinex theory

Liwei Chen, Yanyan Liu, Guoning Li, Jintao Hong, Jin Li, and Jiantao Peng
J. Opt. Soc. Am. A 40(2) 316-325 (2023)

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