Vehicles anti-halation system based on infrared and visible images fusion

Abstract

To avoid collisions caused by night vehicles halation, a video anti-halation system of infrared and visible images fusion was designed. Visible light image and infrared image were enhanced by MSR enhancement algorithm to solve the difficulty in achieving the dark place information caused by low-light level of night visible light image, and the contrast of infrared image was improved, which consequently improved the definition of the fusion image; And the halation was eliminated by the method of infrared and visible images fusion based on YUV and wavelet transformation. Compared with the YUV and wavelet fusion algorithm, the fusion algorithm proposed in this paper can increase the entropy, mean value, average gradient and standard deviation by 1.6%, 13.5%, 25.3% and 0.6%, respectively. Experiment results show that the designed system can effectively eliminate the halation, and improves the image brightness and details in the picture, which improves the safety of night driving.