An Improved Image Contrast Enhancement Based on Histogram Equalization and Brightness Preserving Weight Clustering Histogram Equalization

Author

Chauhan, Ritu ; Bhadoria, Sarita Singh

Author_Institution

Electron. Dept., Madhav Inst. of Technol. & Sci., Gwalior, India

fYear

2011

fDate

3-5 June 2011

Firstpage

597

Lastpage

600

Abstract

Intensity transformation function based on information extracted from image intensity histogram play a basic role in image processing, in areas such as enhancement. Histogram equalization (HE) is a conventional method for image contract enhancement. Histogram equalization improved the contrast of image by changing the intensity level of the pixel based on the intensity distribution of the input image. However, Histogram equalization has some disadvantage. Therefore, "Brightness preserving weight clustering histogram equalization" (BPWCHE) showed that BPWCHE can preserve image brightness and enhance visualization of image more effectively than Histogram equalization method.

Keywords

equalisers; image enhancement; pattern clustering; BPWCHE; brightness preserving weight clustering histogram equalization; image brightness; image contrast enhancement; image intensity histogram; image processing; Brightness; Helium; Histograms; Image segmentation; Mathematical model; Pixel; Visualization; Brightness preserving weight clustering histogram equalization; Gaussian filters; Histogram equalization;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Network Technologies (CSNT), 2011 International Conference on

Conference_Location

Katra, Jammu

Print_ISBN

978-1-4577-0543-4

Electronic_ISBN

978-0-7695-4437-3

Type

conf

DOI

10.1109/CSNT.2011.128

Filename

5966518