An Adaptive Contrast Enhancement Method by Histogram Compensation
| Autor: | Jong-Ho Yun, Myung-Ryul Choi, Tae-Kyung Cho, Hyun-Woo Kang, Bo-Hyun Hwang |
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| Rok vydání: | 2010 |
| Předmět: |
Brightness
Color normalization business.industry Balanced histogram thresholding ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Pattern recognition Compensation (engineering) Histogram Computer vision Adaptive histogram equalization Artificial intelligence business Histogram equalization Mathematics |
| Zdroj: | Journal of the Korea Academia-Industrial cooperation Society. 11:958-964 |
| ISSN: | 1975-4701 |
| DOI: | 10.5762/kais.2010.11.3.958 |
| Popis: | Histogram Equalization(HE) is one of the well known methods for contrast enhancement. but, it did not applied directly due to side effects such as significant change in brightness or washed out appearance. Many conventional method try to overcome this problem but they did not guarantee various image or depend on user define parameter. In this paper, an Adaptive histogram Compensated Histogram Equalization(ACHE) is proposed for contrast enhancement. ACHE has a parameter that based on median of input image. Histogram of input image is compensated according to parameter. And then finally compensated histogram is equalized. Experimental results show that proposed method suppresses side effects such as detail loss or washed out appearance. Moreover, parameter calculated automatically with low computation complexity. As a result, it could applies FPD directly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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