Research And Application Of Road Image Enhancement Algorithm In Harsh Environment

In real life,there are often some severe environments,such as fog environment and low illumination environment.In these environments,the images obtained by image acquisition equipment will have uneven brightness,poor contrast,loss of image details,color imbalance and other phenomena,and the image quality is relatively poor,This interference seriously affects the precision processing of the subsequent recognition system and other applications of the image.Therefore,it is very important to enhance the image obtained under the severe environment.This paper analyzes the image structure and characteristics in low illumination environment and fog environment.Through the establishment of image model and improvement of existing algorithms,the image acquisition in severe environment is enhanced.The specific research contents are as follows:This paper describes the research trends of low illumination image enhancement and fog image enhancement at domestic and abroad,analyzes the existing technology for low illumination image and fog image enhancement method,and further studies common image processing technology and algorithm,including color space conversion,image representation method and common image enhancement technology,Among them,Retinex algorithm and histogram enhancement algorithm are the most important.At the same time,the image smoothing processing is explained,which plays a key role in the image enhancement in the following severe weather conditions.In order to solve the problem of low illumination image in urban traffic and life,this paper analyzes the illumination reflection image model,improves the existing low illumination image enhancement algorithm,proposes an image enhancement algorithm based on color space decomposition,and compares it with other seven algorithms through experiments,and verifies the effect of the improved algorithm through subjective evaluation and objective evaluation,The image quality is improved,and the proposed algorithm has better enhancement effect.According to the atmospheric scattering model,the characteristics of fog images are analyzed,and the main problems of fog images are introduced.In order to better process fog image,the fog image is abstracted into a model with noise.A new algorithm based on spatial decomposition of image and combined with improved wavelet threshold noise suppression algorithm is proposed.Through the comparison with other relevant algorithms,the image enhanced by the algorithm has low noise content and obvious effect of fog suppression.It is proved that the algorithm is effective.Aiming at the problem of using the algorithm in real life,according to the actual situation,combined with cascade classifier,a road vehicle image recognition system used in harsh environment is designed.Vehicle recognition algorithm and two image enhancement algorithms are embedded in the system.The results show that the research algorithm has been effectively applied in the actual system.