Study On Defogging Algorithm Of Mine High Definition Image

In the process of underground coal mine image acquisition,the interference of dust and water mist in the coal mine environment is serious,which causes the serious decline of the image quality,which seriously affects the operation of the underground video monitoring equipment,and then affects the safety production of the coal mine,and seriously interferes with the process of coal mine information and industrial automation.It has very important practical significance and commercial value to ensure the normal operation of mine monitoring system and mine image automation equipment,improve the visual effect of mine image,and defog the mine HD image.In order to reduce the quality of mine image,using material analysis,theoretical modeling,data analysis,simulation and other methods,the causes of dust formation and the principle of image degradation are studied,and the incident light model and atmospheric model include the atmospheric scattering model..Then the contents of the dark primary color channel principle and the two optimization methods using the algorithm,the fog removing algorithm and the soft matting and the boot filter,are discussed.The defects of the algorithm are also discussed.In view of the slow operation of dark original color algorithm in high definition image,a method is proposed to improve the speed of dark original color channel by multiple interpolations.At the same time,in order to ensure that the quality of the image is not seriously reduced,the CANNY operator and the boot filter are used to optimize the weight of the transmittance image,and the speed is increased.At the same time,the loss of image quality is reduced.In mine sky area is discussed,and the limit of atmospheric optical value is set.Finally,through the combination of subjective and objective evaluation,we compare the fog removal results between the algorithm and the other four algorithms.It is proved that this algorithm realizes the high definition image,while ensuring the detail quality of the image,it reduces the operation time by about 60% compared with the dark original color channel algorithm,and solves the time limitation of the dark original color prior algorithm when the HD image is fogging,and realizes the fast fog removal of the high definition image.