Title :
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
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;
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
DOI :
10.1109/CSNT.2011.128
