Color image enhancement using correlated intensity and saturation adjustments
File version
Accepted Manuscript (AM)
Author(s)
Shi, Haiyan
Fang, Gu
Ha, Quang
Yu, Ying-Hao
Wu, Tonghai
Li, Huaizhong
Thai, Nguyen
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
License
Abstract
The enhancement of digital color images needs to be performed in accordance with human perception in terms of hue, saturation, and intensity attributes instead of improving only the contrast. Two approaches were developed in this work, which use a correlated adjustment mechanism incorporating intensity and saturation attributes and provide contrast and saturation enhancements together with brightness consistency. In these algorithms, object edges are emphasized for contrast, and image saturation is increased by boosting the salient regions. Furthermore, intensity and saturation enhancements are carried out in a lattice structure where adjustments are made inter-related for better performance. Experiments were conducted with benchmark and real-world images. Results had shown improvements in image qualities both qualitatively and quantitatively.
Journal Title
Journal of Modern Optics
Conference Title
Book Title
Edition
Volume
62
Issue
13
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2015 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Modern Optics on 08 Jun 2015, available online: http://www.tandfonline.com/doi/full/10.1080/09500340.2015.1051601
Item Access Status
Note
Access the data
Related item(s)
Subject
Atomic, molecular and optical physics
Atomic, molecular and optical physics not elsewhere classified
Quantum physics
Nanotechnology