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In the environment of insufficient light, video monitoring system could be easy to get indistinct videos and blurred pictures. In order to achieve better image effect, this paper proposes a method for color image enhancement in real time low illumination. By means of color space conversion, histogram equilization and linear transformation, it carries out the real time enhancement processing to the colorful video images of low illumination, broadens the dynamic range of the images, and improves the contrast and visual effect of the video images. Introduction Video image enhancement technology has been a very important basic processing technology in the field of image processing. The application of image enhancement technology has been applied in the fields of Aeronautics and Astronautics, military reconnaissance, medical diagnosis, satellite image processing and so on. For example, under the condition of bad weather, the image enhancement method should be used to overcome the blurred image caused by the lack of light, dust, smoke, and so on. Video monitoring system in the light of the environment is easy to lead to video blur, the image is not clear, through the image enhancement processing can improve the quality of video images, resulting in better visual effects. Histogram equalization based on the probability theory, in order to achieve the purpose of image enhancement based on gray pixel value in the image transform, the algorithm has the typical histogram equalization algorithm (HE), histogram projection algorithm (HP), platform histogram equalization method (PE). Histogram equalization algorithm is a nonlinear stretching method, first calculate the original image histogram, and then the gray level of the cumulative probability distribution as the image transform coefficient, total gray series transformation between image grayscale conversion times. This method is mainly for the probability of a larger target pixel, pixel gray level distribution concentrated extended to wider, and the number of pixels less compression, enhance image contrast, so as to enhance the effectiveness of image. In order to overcome the problem of lack of real-time processing existing in the prior art, the purpose of this paper is to provide a method to enhance the real-time low illumination color image, color images of low illumination for real-time enhancement, extended dynamic range image, improve the contrast at the same time, can realize the enhancement of high speed and high resolution video surveillance images, improve the visual effect of video image. Key Implementation Technology Implementation of Technical Solutions. The utility model relates to a real time low illumination color image enhancement method, which mainly comprises the following steps: (1) The RGB color image is converted to YCbCr color space, the transformation relationship is shown as follows: Y = 0.257*R+0.564*G+0.098*B+16 Cb = -0.148*R-0.291*G+0.439*B+128 Cr = 0.439*R-0.368*G-0.071*B+128 (2) YCbCr color space of the Y component histogram equalization processing; 63 7th International Conference on Education, Management, Computer and Society (EMCS 2017) Advances in Computer Science Research (ACSR), volume 61

Research on Real Time Low Illumination Color Image Enhancement Method Based on FPGA