DocumentCode :
376274
Title :
Image enhancement using the modified cosine function and semi-histogram equalization for gray-scale and color images
Author :
Williams, Barry ; Hung, Chih-Cheng ; Yen, Kang K. ; Coleman, Tommy
Author_Institution :
Sch. of Comput. & Software Eng., Southern Polytech. State Univ., Marietta, GA, USA
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
518
Abstract :
The paper outlines two image enhancement operators for gray scale and color images. A modified cosine function was developed for image enhancement, in which some enhanced images may appear a little darker if the average pixel value in the image generally falls below the intermediate value (which is 128 in most images used in the experiments (256 gray-level)). A Semi-Histogram-Equalization (SHE) method is then proposed for enhancement so that regardless of how dark or bright the image is, it would give a good contrast enhancement. Experimental results show that the proposed operators can enhance gray scale and color images effectively
Keywords :
image colour analysis; image enhancement; probability; SHE; Semi-Histogram-Equalization method; average pixel value; color images; contrast enhancement; enhanced images; gray-scale images; image enhancement operators; intermediate value; modified cosine function; semi-histogram equalization; Brightness; Color; Frequency domain analysis; Gray-scale; Histograms; Image analysis; Image enhancement; Image processing; Pixel; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.969866
Filename :
969866
Link To Document :
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