Research On Image De-hazing Method Based On IDCP Algorithm

In recent years,the frequent occurrence of haze weather,not only for people’s travel and urban traffic caused a lot of disadvantages,but also on the image,video surveillance system seriously affected.Under the condition of haze,the computer vision system is extremely susceptible to the influence of the external environment,especially,the image acquired by the image device is seriously degraded by the scattering effect of the suspended particles in the air,so that the color of the image is grayish and the contrast is reduced,Object characteristics difficult to distinguish.Not only make the visual effect worse,reduce the image viewing,but also affect the image post-processing.At the same time,how to eliminate the haze interference from the hazy image,restore the clear image,to enhance the quality of the image and the robustness of the visual system has important research value.Image de-hazing technology mainly includes image enhancement technology and image restoration technology.In this paper,we use the objective evaluation method to evaluate the de-hazing effect graphs of several typical de-haze algorithms included in these two categories methods.A large number of studies have found that the current use of a more extensive is based on the physical model of image restoration technology,which analyzes the reason cause of the degradation of the haze image,analyzes the imaging model,and realizes the image quickly.This paper compares the de-haze results of three classical algorithms of image restoration,including Fattal algorithm,Tan algorithm and DCP algorithm.Research found that DCP algorithm compared to the other two algorithms to deal with better,and both in the mist or heavy haze scenes,de-haze result is very good.In this paper,the DCP algorithm is studied deeply,and the IDCP algorithm is proposed on the basis of the DCP algorithm,which is mainly aimed at the problem of large amount of computation and some special scene restoration image distortion in DCP algorithm,the problem is improved.IDCP algorithm uses bilateral filtering and maximumfiltering method to refine the transmission,and to improve the operation efficiency on the basis of ensuring the quality of de-haze image.The tolerance parameter is introduced to correct the transmission in the failure scene and to avoid distortion of the restored image.The simulation results show that the IDCP algorithm proposed in this paper improves the computing efficiency,and makes the use range more widely.Finally,for the single image de-hazing,this paper is based on the MFC and Open CV designed a human-computer interaction platform to de-haze,and several typical de-hazing algorithms is embedded the system,makes the simulation operation more humanization.