DocumentCode
3340987
Title
Local Histogram Equalization Based on the Minimum Brightness Error
Author
Tian, Yafei ; Wan, Qingtao ; Wu, Fengjun
Author_Institution
Lanzhou Univ., Lanzhou
fYear
2007
fDate
22-24 Aug. 2007
Firstpage
58
Lastpage
61
Abstract
Histogram equalization is a very useful method for contrast enhancement. The brightness of the output image has nothing to do with the brightness of the input image. The paper proposed a new algorithm which based on the minimum mean brightness error bi-histogram equalization and the local histogram equalization. Simulation results prove that the new algorithm is better than other algorithms.
Keywords
brightness; equalisers; image enhancement; mean square error methods; statistical analysis; image contrast enhancement; local image histogram equalization; minimum mean brightness error; Brightness; Density functional theory; Dynamic range; Graphics; Helium; Histograms; Probability density function; Probability distribution; Wide area networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location
Sichuan
Print_ISBN
0-7695-2929-1
Type
conf
DOI
10.1109/ICIG.2007.24
Filename
4297054
Link To Document