| 非均匀光照图像双分量增强Retinex算法 |
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| 引用本文： | 周凯汀.非均匀光照图像双分量增强Retinex算法[J].微电子学,2023,45(5). |
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| 作者姓名： | 周凯汀 |
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| 基金项目： | 福建省科技计划项目（2020Y0039）；泉州市高层次人才创新创业项目（2020C042R） |
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| 摘 要： | 图像增强是“数字图像处理”课程的一项重要教学内容。针对图像增强方法的实践训练，给出一个综合实验-非均匀光照图像双分量增强Retinex算法。该实验整合了灰度变换、直方图均衡、图像平滑、去锐化掩模、高频增强等图像增强方法，并引入用于图像质量评价的量化指标等内容，图像增强效果好，对于图像增强的实践教学具有较好的参考价值。
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| 关 键 词： | 非均匀光照图像 图像增强 Retinex |
| 收稿时间： | 2022/1/13 0:00:00 |
| 修稿时间： | 2023/8/7 0:00:00 |
Two Components Enhanced Retinex Algorithm for Uneven Lighting Images |
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| Affiliation: | Huaqiao University |
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| Abstract: | Image enhancement is an important content in the course of Digital Image Processing. Focusing on practical training of image enhancement techniques, a comprehensive experiment-Two components enhanced retinex algorithm for uneven lighting images is presented. The experiment integrates image enhancement techniques such as histogram stretching, histogram equalization, image smoothing, unsharp masking, high-boost filtering, and introduces quantitative indexes for image quality assessment. It brings improved image quality and provides a valuable reference to the practical teaching of image enhancement. |
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| Keywords: | uneven lighting images image enhancement Retinex |
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