Infrared image enhancement algorithm based on Retinex Theory and Adaptive Gain Control

摘要

According to the problems that the infrared images always have low contrast, low dynamic range, weak detail information and low visual effect, we apply the Retinex Theory and Adaptive Gain Control to the infrared image processing: which firstly press the dynamic rang of the image using Multi-Scale Retinex Algorithm so that it can show a high dynamic range at the same time; then we depart the image into high frequency part and low frequency part by filtering, and adaptively adjust the dynamic range of the both image parts respectively. Finally, we add them up with their weight value and get the final output image. In our experiments, the algorithm successively enhances the detail of the image and the output images have high contrast, high dynamic range and the whole visual effect is improved significant.