Image enhancement algorithm research based on the archives monitoring under low illumination

In the archives security system, light is an important factor of image definition, has a great influence on the subsequent processing and final regulation. In this paper, aiming at the gloomy weather and night low contrast image by using histogram equalization (HE), the adaptive histogram equalization (AHE) and contrast limited adaptive histogram equalization (CLAHE) algorithm for image processing and comparison, this paper presents an improved algorithm of contrast limited adaptive histogram equalization based on. Firstly, the RGB and YCbCr color space conversion. Second only to the luminance component of the contrast limited adaptive histogram equalization transformation and nonlinear tension change. Finally, the output image RGB. The experimental results show that, this method not only improves the contrast of the image, and in the monitoring of archives security system in good to keep the image information, and improve the effectiveness of subsequent recognition and monitoring.