| 采用自适应全局亮度补偿的夜间去雾算法 |
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| 引用本文： | 陈志恒,严利民,张竞阳.采用自适应全局亮度补偿的夜间去雾算法[J].红外技术,2021,43(10):954-959. |
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| 作者姓名： | 陈志恒 严利民 张竞阳 |
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| 作者单位： | 上海大学 微电子研究与开发中心，上海 200444 |
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| 基金项目： | 国家自然科学基金61674100 |
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| 摘 要： | 针对夜间雾霾天气情况下还原的去雾图像存在颜色失真、纹理损失严重、去雾效果差等问题，本文提出了一种夜间去雾算法，采用自适应全局亮度补偿、同态滤波、限制对比度自适应直方图均衡化算法以及联合双边滤波对降质图像进行处理，结合大气散射模型得到还原的去雾图像。实验结果表明，该算法的夜间去雾效果好、处理速度快，较对比算法在对比度、平均梯度以及信息熵上均有改善，有效减少了还原图像的颜色失真、纹理损失。
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| 关 键 词： | 夜间去雾 自适应全局亮度补偿 同态滤波 限制对比度自适应直方图均衡化算法 联合双边滤波 |
| 收稿时间： | 2020-04-26 |
Nighttime Dehazing Algorithm with Adaptive Global Brightness Compensation |
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| Affiliation: | Microelectronics R & D Center, Shanghai University, Shanghai 200444, China |
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| Abstract: | To address the problems of color distortion, heavy texture loss, and poor dehazing effect in the dehazing images of hazing nights, this study proposes a night-time dehazing algorithm. Adaptive global brightness compensation, homomorphic filtering, contrast limited adaptive histogram equalization algorithm, and joint bilateral filtering were used to process the hazing images, and the dehazing images were obtained by combining the atmospheric scattering model. The experimental results show that this method has a better night dehazing effect and faster processing speed than the comparison algorithms. The contrast, mean gradients, and entropy are improved, and the color distortion and texture loss are effectively reduced. |
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