Single image dehazing based on dark channel prior
Bad weather, such as fog and haze, can dramatically degrade the visibility of a scene. To solve this problem, we exploit the method of dark channe channel prior to recover a single l haze image, which is based on a key observation-most non non-sky local patches in haze haze-free outdoor images contain some pixels with very low intensities in at least one color channel. In this article, the dark channel prior method is implemented to remove haze from a single outdoor image, and the setting up of parameters is discussed and evaluate evaluated. The experimental results show the visibility visibility, contrast, and detail, of the scene are significantly enhanced comparing with the original one ones. In addition, the analysis result results of the GMG (Gray Mean Grads Grads), LS ( ), Laplace operator operator), and BN (Blur Noise) ), im image quality assessment method age methods present a dramatic rise of image quality.
dehaz dehaze dark channel prior soft matting image quality as assessment sessment
Shuyin Tao Tao Huajun Feng Zhihai Xu Qi Li
State Key Lab of Modern Optical Instrumentation Zhejiang University, Hangzhou, 310027
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）