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