DocumentCode
2290449
Title
A new image enhancement algorithm for low illumination environment
Author
Zhao, Yanqin ; Fu, Xihui ; Wang, Zhenchong ; Fan, Guoliang
Author_Institution
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Volume
1
fYear
2011
fDate
10-12 June 2011
Firstpage
625
Lastpage
627
Abstract
To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher peak signal to noise ratio. So it can get better performance in dealing with the illumination images both in subjective and objective.
Keywords
image enhancement; gray level; histogram equalization method; human visual; illumination environment; illumination image; image enhancement algorithm; mean square error; peak signal to noise ratio; Coal mining; Histograms; Humans; Image enhancement; Lighting; Pixel; Transforms; contrast; gray level; histogram; illumination; image enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5953297
Filename
5953297
Link To Document