Single Image Haze Removal Using Dark Channel Prior

Single Image Haze Removal Using dark Channel Prior Kaiming He1 Jian Sun2 Xiaoou Tang1,3. 1 2 3. Department of Information Engineering Microsoft Research Asia Shenzhen Institute of Advanced Technology The Chinese University of Hong Kong Chinese Academy of Sciences Abstract In this paper, we propose a simple but effective Image Prior - dark Channel Prior to remove haze from a s- ingle input Image . The dark Channel Prior is a kind of s- tatistics of the haze-free outdoor images. It is based on a key observation - most local patches in haze-free outdoor images contain some pixels which have very low intensities in at least one color Channel . Using this Prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high quality haze-free Image .

Jdark(x)= min c∈{r,g,b} (min y∈Ω(x) (Jc(y))), (5) where Jc is a color channel of J and Ω(x)is a local patch centered at x. Our observation says that except for the sky region, the intensity of Jdark is low and tends to be ze-ro, if J is a haze-free outdoor image. We call Jdark the dark channel of J, and we call the above statistical obser-

Loading..

Tags:

  Channel, Dark, Dark channel

Information

Related search queries