Single Image Dehazing Based On Detail Loss Compensation and Degradation

摘要：

Most image dehazing methods are based on the dichromatic atmospheric scattering model. However, this model cannot explain blurring effects. In this paper, we present a detail loss compensating model, based on the analysis of multiple scattering model. By assuming that the foggy image has less detail than the image captured on a clear day, we use the Laplacian template and present a smoothing point spread function to estimate the detail loss of a foggy image. The fog noise is subsequently obtained based on the estimated detail loss, and the inherent radiance of the scene can therefore be restored. Experimental results show that our method have good dehazing effect and enhance the image sharpness to a certain extent.

关键词： single image dehazing Multiple Scattering Model Detail loss compensation real-time processing

作者: Hong Zhang JiafengLi LuLi YuechengLi QianZhao YuhuYou

作者单位: Image processing centre Beihang University, 100191 Beijing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 822-826

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）