Back Propagation Neural Network Dehazing
文献类型：会议论文
| 作者 | Jiaming Mai; Qingsong Zhu; Di Wu; Yaoqin Xi; Lei Wang |
| 出版日期 | 2014 |
| 会议名称 | Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics |
| 会议地点 | Bali, Indonesia |
| 英文摘要 | In this paper, we propose a novel learning-based approach for single image dehazing. The proposed approach is mostly inspired by the observation that the color of the objects fades gradually along with the increment of the scene depth. We regard the RGB values of the pixels within the image as the important feature, and use the back propagation neural network to mine the internal link between color and depth from the training samples, which consists of the hazy images and their corresponding ground truth depth map. With the trained neural network, we can easily restore the depth information as well as the scene radiance from the hazy image. Experimental results show that the proposed approach is able to produce a high-quality haze-free image with the single hazy image and achieve the real-time requirement. |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5899]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Jiaming Mai,Qingsong Zhu,Di Wu,et al. Back Propagation Neural Network Dehazing[C]. 见:Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics. Bali, Indonesia. |
入库方式： OAI收割
来源：深圳先进技术研究院
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