| 基于多细节卷积神经网络的单幅图像去雨方法 |
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| 引用本文： | 林向伟,曾焕强,侯进辉,朱建清,蔡灿辉.基于多细节卷积神经网络的单幅图像去雨方法[J].信号处理,2019,35(3):460-465. |
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| 作者姓名： | 林向伟 曾焕强 侯进辉 朱建清 蔡灿辉 |
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| 作者单位： | 华侨大学信息科学与工程学院,厦门市移动多媒体通信重点实验室 |
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| 基金项目： | 国家自然科学基金项目(61871434,61802136,61602191)；福建省自然科学基金项目(2019J06017,2016J01308,2017J05103)；泉州市高层次人才创新创业项目(2017G027)；华侨大学中青年教师科研提升资助计划(ZQN-YX403,ZQN-PY418)；华侨大学高层次人才资助项目(14BS201,14BS204,16BS709)
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| 摘 要： | 本文提出一种基于多细节卷积神经网络的单幅图像去雨方法。考虑到雨条信息大都存在于有雨图像的高频部分,所提方法将有雨图像通过引导滤波进行多次分解得到平滑图像和不同频率分布的多细节图像,提出多细节卷积神经网络学习有雨图像和无雨图像之间的映射关系,从而获得无雨图像。考虑到实际收集相同场景下的有雨图像和无雨图像难度较大,本文采用无雨图像和人工合成的有雨图像作为训练数据,而测试部分则采用合成的雨图和真实的雨图。实验结果表明,本文所提方法能够有效去除图像中的雨条信息。
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| 关 键 词： | 图像去雨 卷积神经网络 多细节 |
| 收稿时间： | 2018-12-31 |
Multi-detail convolutional neural networks for single image rain removal |
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| Lin Xiangwei,Zeng Huanqiang,Hou Jinhui,Zhu Jianqing,Cai Canhui.Multi-detail convolutional neural networks for single image rain removal[J].Signal Processing,2019,35(3):460-465. |
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| Authors: | Lin Xiangwei Zeng Huanqiang Hou Jinhui Zhu Jianqing Cai Canhui |
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| Affiliation: | (School of Information Science and Engineering,Huaqiao University,Xiamen Key Laboratory of Mobile Multimedia Communications,Xiamen,Fujian 361021,China) |
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| Abstract: | This paper, proposes a single image rain removal method based on multi-detail convolutional neural network. Considering that the raindrop information is mostly presented in the high frequency part of the rainy-image, the proposed method exploits the guided filter to decompose the rainy-image into a smooth image and multi-detail images with different frequency distribution, and then a multi-detail convolutional neural network is developed to learn the mapping relationship between the rainy-image and the rainless image, so as to obtain a rainless image. Considering that it is difficult to collect rainy-images and rainless images in the same scene in reality, we use rainless images and artificially synthesized rainy-images as training data, while utilize the synthesized rainy-images and real rainy-images as the testing data. The experimental results have shown that the proposed method can effectively remove the raindrop information from the rainy-image. |
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| Keywords: | image rain removal convolutional neural network multi-detail |
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