| 摘要: |
| 对传统灰度图像直方图均衡化方法进行了深入研究,提出了一种基于正切函数调整的直方图均衡化改进算法,该方法有利于提高图像的对比度,达到对图像判别的要求。 算法实现的关键是最优参数选择,因此采用了一种便于选择最优参数的方法。 另外,将图像相似程度应用于了增强效果的评价,为图像增强的实验分析提供了新的方法,具有一定的科学性与可行性。 实验结果表明,该算法比现有的图像增强方法效果更好。 |
| 关键词: 微弱图像 低对比度 图像增强 灰度变换 直方图均衡化 |
| DOI： |
| 分类号:TS801. 3 |
| 基金项目:上海市教委科研创新重点项目(13zz111);国家新闻出版总署数字印刷工程研究中心开放基金项目 |
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| Research of Faint Image Enhancement Technology |
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QIN Yang, SUN Liu-jie, WANG Wen-ju
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University of Shanghai for Science and Technology, Shanghai 200093, China
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| Abstract: |
| After further study of traditional histogram equalization method, an improved algorithm of histogram equalization based on triangle function was put forward. This method is helpful to improve the contrast of image and makes image meet the requirement of image identification. Selecting the optimal parameters is the key to image enhancement technology, so a kind of easy way to choose the optimum parameters was selected. Image similarity was applied for image enhancement. The experimental results showed that the proposed method can enhance the image more effectively than the existing methods. |
| Key words: faint image low contrast image enhancement gray transform histogram equalization |
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