The color correction method based on dark channel prior and sub-region correction for EMCCD

For a large amount of near-infrared information is introduced to EMCCD, which leads to color distortion in the green plant area during R, G, B channel image fusion. In this paper, an algorithm combing dark channel prior and sub -region correction is proposed. First, the results of dark channel prior and sub-region extraction of green plant areas are analyzed and compared, we find that both of them have shortcomings. Second, on the basis of the preliminary dark channel extraction, binaryzation parameters are determined by analyzing the brightness mean values of various scenes in R, G, B and gray channel, so as to realize the extraction of green plant areas. Finally, the color correction is carried out in different regions and the image is converted from RGB color space to HIS color space. To make full use of the infrared information in the system, the I channel is replaced by gray channel. It is proved that the correction algorithm proposed in this paper can effectively correct the color biased image acquired by EMCCD system.