Defogging Image Restoration Based on Four Order Partial Differential Equation
LI Guili · Electronic Science and Technology · 2016
The fog image contrast is reduced with may gray areas. In order to effectively remove the image of the mist and the effect of image in the vision. An image degradation model is built based on the fog image attenuation model and atmospheric optical model. The energy functions are constructed using the scene depth and image gradient,and the energy function minimum calculated using the four order partial differential equation and some known information. The fog image restoration algorithm is achieved with the four order partial differential equation by finite difference numerical method. The experimental results that better image defogging effect.