摘要
An improved single image dehazing method based on dark channel prior and wavelet transform is proposed. This proposed method employs wavelet transform and guided filter instead of the soft matting procedure to estimate and refine the depth map of haze images. Moreover, a contrast enhancement method based on just noticeable difference(JND) and quadratic function is adopted to enhance the contrast for the dehazed image, since the scene radiance is usually not as bright as the atmospheric light,and the dehazed image looks dim. The experimental results show that the proposed approach can effectively enhance the haze image and is well suitable for implementing on the surveillance and obstacle detection systems.
An improved single image dehazing method based on dark channel prior and wavelet transform is proposed. This pro- posed method employs wavelet transform and guided filter instead of the soft matting procedure to estimate and refine the depth map of haze images. Moreover, a contrast enhancement method based on just noticeable difference （JND） and quadratic function is adopted to enhance the contrast for the dehazed image, since the scene radiance is usually not as bright as the atmospheric light, and the dehazed image looks dim. The experimental results show that the proposed approach can effectively enhance the haze ima- ge and is well suitable for implementing on the surveillance and obstacle detection systems.
基金
supported by the National Natural Science Foundation of China(61075013)
the Joint Funds of the Civil Aviation(61139003)
关键词
单幅图像
原色
小波变换
二次函数
增强方法
检测系统
对比度
深度图
single image haze removal dark channel prior guided filter,wavelet transform contrast enhancement quadratic function
