Automatic Contrast Enhancement by Transfer Function Modification
| Autor: | Yucel Altunbasak, Sang Ho Ahn, Tae Wuk Bae |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Contrast enhancement
General Computer Science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Automatic contrast enhancement Linearization of transfer function Meanpoint shifting Sparsity of a histogram Transfer function modification 020206 networking & telecommunications 02 engineering and technology Transfer function Electronic Optical and Magnetic Materials 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Adaptive histogram equalization Computer vision Artificial intelligence Electrical and Electronic Engineering business Histogram equalization Mathematics |
| Zdroj: | ETRI JOURNAL(39): 1 |
| Popis: | In this study, we propose an automatic contrast enhancement method based on transfer function modification (TFM) by histogram equalization. Previous histogram-based global contrast enhancement techniques employ histogram modification, whereas we propose a direct TFM technique that considers the mean brightness of an image during contrast enhancement. The mean point shifting method using a transfer function is proposed to preserve the mean brightness of an image. In addition, the linearization of transfer function technique, which has a histogram flattening effect, is designed to reduce visual artifacts. An attenuation factor is automatically determined using the maximum value of the probability density function in an image to control its rate of contrast. A new quantitative measurement method called sparsity of a histogram is proposed to obtain a better objective comparison relative to previous global contrast enhancement methods. According to our experimental results, we demonstrated the performance of our proposed method based on generalized measures and the newly proposed measurement. |
| Databáze: | OpenAIRE |
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