An Improved Method of Removing Fog and Haze Effect From Images
Jia Shi, Kejian Yang · 2016
To process the fog and haze image,a local histogram equalization based on distant scale factor interpolation method to deal with the blocking effect was proposed .In this paper,We analyzed the basic features of the haze image,that is, low brightness and low contrast.And then,for these features we choose local histogram equalization and proposed an improved interpolation method to eliminate the blocking effect.The simulation results demonstrated that the proposed method can reduce time consumption,while suppressing the color distortion,improving the image contrast and getting satisfactory results.