Title :
Local Histogram Equalization Based on the Minimum Brightness Error
Author :
Tian, Yafei ; Wan, Qingtao ; Wu, Fengjun
Author_Institution :
Lanzhou Univ., Lanzhou
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;
Conference_Titel :
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location :
Sichuan
Print_ISBN :
0-7695-2929-1
DOI :
10.1109/ICIG.2007.24
