|
For Full-Text PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
|
Image Contrast Enhancement Using Adaptive Slope
Hwa-Soo WOO Jong-Wha CHONG
Publication
IEICE TRANSACTIONS on Information and Systems
Vol.E97-D
No.5
pp.1382-1385 Publication Date: 2014/05/01 Online ISSN: 1745-1361
DOI: 10.1587/transinf.E97.D.1382 Type of Manuscript: LETTER Category: Image Processing and Video Processing Keyword: adaptive contrast enhancement, first derivative, convolution redistribution scheme,
Full Text: PDF>>
Summary:
In this paper, we propose an algorithm for contrast enhancement based on Adaptive Histogram Equalization (AHE) to improve image quality. Most histogram-based contrast enhancement methods have problems with excessive or low image contrast enhancement. This results in unnatural output images and the loss of visual information. The proposed method manipulates the slope of the input of the Probability Density Function (PDF) histogram. We also propose a pixel redistribution method using convolution to compensate for excess pixels after the slope modification procedure. Our method adaptively enhances the contrast of the input image and shows good simulation results compared with conventional methods.
|
|
|