An Improved Image Clearness Algorithm Based on Dark Channel Prior

摘要：

　　An improved image clearness method based on the theory of dark channel prior is proposed.Firstly,the single channel image coming from the minimum value of each pixel among the three color channels is computed; secondly,the atmospheric light is estimated by using the wavelet threshold method; thirdly,the transmission maps are calculated by using the atmospheric light,and then the image is recovered by using the atmospheric light.The experiment results show that this method can restore the fogging image effectively and reduce the time complexity which brought by Soft Matting algorithm greatly.

关键词： defogging algorithm dark channel prior wavelet de-noising method

作者: HUANG Darong FANG Zhou ZHAO Ling CHU Xiaoyan

作者单位: Chongqing Jiaotong University,Chongqing,400074,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7350-7355

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）