A New Restoration Algorithm for Single Image Defogging

摘要：

　　Fog is an atmospheric phenomenon that significantly degrades the visibility of outdoor scenes.Thus,this paper presents an algorithm to remove fog for a single image.The method estimates the transmission map of image degradation model by assigning labels with MRF model and optimizes the map estimation process using the graph-cut based α-expansion technique.The algorithm goes with two steps: first,the transmission map is estimated using a dedicated MRF model combined with the bilateral filter.Then,the restored image is obtained by taking the estimated transmission map and the airlight into the image degradation model to recover the scene radiance.A comparative study is proposed with a few other state of the art algorithms which demonstrate that better quality results can be obtained using the proposed method.

关键词： image restoration fog removal image degradation model transmission map

作者: Fan Guo Hui Peng Jin Tang

作者单位: School of Information Science and Engineering,Central South University,Changsha,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 169-178

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）