Research on image degradation assessment method of infrared retrace compensation system
In order to solve the problem of online assessment of image degradation in retrace compensation infrared imaging system,a quality evaluation method based on the gradient similarity of infrared images was adopted.Based on the idea of a structural similarity algorithm,according to the characteristics of a flyback compensation infrared imaging system,the gradient feature that could effectively measure the degree of image distortion change was extracted,and the average value of the gradient similarity of each sub-image block was calculated,thereby the gradient of the entire image similarity was obtained.The results show that for images with the same degree of degradation,the measured assessment value of the structural similarity algorithm drops from 0.772 to 0.705,and the assessment value of the gradient similarity algorithm drops from 0.700 to 0.543;the gradient similarity algorithm is more sensitive to the quality changes of infrared scan images with different degrees of degradation than the commonly used structural similarity algorithm and does not require external test equipment such as collimators.This study provides a new method for online image quality assessment and optimization of infrared retrace compensation system.
万方数据
维普
