机构

• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 光电技术研究所 [1]
• 上海技术物理研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [4]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2018 [1]
• 2017 [1]
• 2016 [1]
• 2015 [1]
• 2010 [2]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Deep Video Dehazing with Semantic Segmentation 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 99, 期号: 99, 页码: 1-13 作者:  Wenqi REN;  Jingang ZHANG;  Xiangyu XU;  Lin MA;  Xiaocun CAO   |  收藏  |  浏览/下载：103/0  |  提交时间：2018/10/09 Video Dehazing  Defogging   Learning Tone Mapping Function for Dehazing 期刊论文  OAI收割 cognitive computation, 2017, 卷号: 9, 期号: 1, 页码: 95-114 作者:  Lian, Xuhang;  Pang, Yanwei;  He, Yuqing 收藏  |  浏览/下载：65/0  |  提交时间：2017/05/02 Learning to dehaze  Defogging  Tone mapping  Image enhancement   A fast algorithm for image defogging 期刊论文  OAI收割 Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment, 2016, 卷号: 9684, 页码: 968427 作者:  Wang, Xingyu;  Guo, Shuai;  Wang, Hui;  Su, Haibing   |  收藏  |  浏览/下载：17/0  |  提交时间：2018/06/14 Defogging  Hsi Space  s Correction  Sky Recognition   Direct Growth of Ultrafast transparent Single-layer Graphene Defoggers 期刊论文  OAI收割 SMALL, 2015, 卷号: 11, 期号: 15, 页码: 1840-1846 - 收藏  |  浏览/下载：275/0  |  提交时间：2016/05/16 single-layer graphene  graphene  defogging  defoggers  direct growth  transparent materials   视频图像质量增强技术研究 学位论文  OAI收割 工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 姚波 收藏  |  浏览/下载：82/0  |  提交时间：2015/09/02 视频图像增强  去雾  去抖动  Video and image enhancement  Defogging  Shaking removal   Real-time defogging processing of aerial images (EI CONFERENCE) 会议论文  OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者:  Liu G. 收藏  |  浏览/下载：37/0  |  提交时间：2013/03/25 A real-time image defogging processing method based on FPGA is proposed to increase low-contrast of the aerial images in foggy vision conditions. According to the high similarity of the contiguous frame histogram in video image  the histogram equalization algorithm is improved to enhance the image contrast. The median filter algorithm is used to eliminate the noise of the image. The experimental results demonstrate that the method can efficiently enhance the contrast  strengthen the detail and clarify definition for the fog-degraded aerial images. The visibility limit of the images has been increased to a time above. Simultaneously the method satisfies the real-time processing requirement of aerial video images  which has direct applications to the problem of poor visibility conditions. 2010 IEEE.