Contrast enhancement with slope modification

In this paper, we propose Adaptive Histogram Equalization (AHE) based contrast enhancement algorithm. Most histogram-based contrast enhancement methods have problems such as excessive contrast enhancement, unnatural output images, and the loss of visual information. The proposed method manipulates t...

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Bibliographic Details
Main Authors: Hwasoo Woo, Jongjoo Park, Chang-shuai Wang, Sangwoo Ahn, Jong-wha Chong
Format: Conference Proceeding
Language:English
Subjects:
adaptive contrast enhancement
Gray-scale
Histograms
mapping function slope manipulation
Noise
Simulation
Sociology
Visualization
Online Access:Request full text
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Description
Summary:In this paper, we propose Adaptive Histogram Equalization (AHE) based contrast enhancement algorithm. Most histogram-based contrast enhancement methods have problems such as excessive contrast enhancement, 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. Our method adaptively enhances the contrast of the input image and shows good simulation results compared with conventional methods.
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2014.6884326