Mist Removal Using Fast Algorithm Based on Linear Operator

Abstract

In hazy or foggy weather conditions image quality gets degraded which affects the performance of outdoor computer vision system. In this project a fast algorithm is proposed based on linear transformation by assuming that a linear relationship exists in the minimum channel between the hazy image and the haze-free image for dehazing single image. Firstly, the principle of linear transformation is analyzed and then the method of estimating a medium transmission map is elaborated & the weakening strategies are introduced to solve the problem of brightest areas of distortion. To accurately estimate the atmospheric light, an additional channel method is proposed based on quad-tree subdivision. In this method, average grays and gradients in the region are employed as assessment criteria. Finally, the haze-free image is obtained using the atmospheric scattering model.