A Optimization Algorithm of Aerial Images Defogging Based on Dark-channel prior
In order to improve visibility limit of outdoor system especially UAVs vision system, we propose a new and fast approach to process the foggy degraded image. Using the dark-channel prior and the physical model of foggy image we remove fog from a single input image. The global defogging model and the adapting extending contract model are constructed in terms of optimizing method. Results on a variety of outdoor foggy images different in size demonstrate that it can efficiently enhance the contrast of foggy degraded images and recover a high quality fog-free image. Moreover, the method can overcome the Kaiming hes drawback of more time-consuming, and the average processing time is 0.1 of his. A 1024*11024 image is only used 1 to 2 second to process. At last the method can improve the clearness to the aerial images, and it is important to make foggy outdoor vision systems more reliable and more robust.
visibility limit degraded images dark-channel prior image clearness
Xiaoqiang JI Xiaolong LANG Ming DAI Chuanli YIN
Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun,China Changchun Institute of Optics,Fine Mechanics and Physics,Changchun,China
国际会议
太原
英文
196-199
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）