Images that are produced by polarization imaging have certain characteristics that reveal the advantages of fog goal. An effective quantitative evaluation method

however

has yet to be developed for polarization images. Given that the parameters of polarization images are generated by the original pattern

existing methods cannot effectively evaluate analytical images. The current study presents an evaluation method for the quality of polarization images under foggy conditions

as well as aims to compare the quality of images under different fog conditions. The relationship between the characteristics and the subjective observation of fog was verified from the view of image quality analysis. A polarization analysis of the characteristic parameters and factors of "analytical distortion sensitive" was conducted by analyzing the process of all polarization parameters and the influence of fog on image quality. These factors were based on the structural characteristics of the spatial statistical characteristics of natural scenes and images. Then

the corresponding Stokes parameters were introduced. A unified evaluation model was developed based on Mahalanobis distance. The experiment analyzed indoor simulated fog scene samples

simulated fog samples

and images under actual conditions. Experiments and the indoor simulation of a foggy environment were conducted with samples. Samples under foggy conditions were analyzed and evaluated. The validity and consistency of the subjective and objective experiments were determined with the three types of samples. The experimental results show that the CC values and RMS values of the map evaluated by the proposed algorithm are 0.930 2 and 4.593 2

respectively

and the CC value and RMS value of the map are respectively 0.877 1 and 0.995 0

algorithm has high accuracy. The SROCC value of is 0.939 0

the SROCC value of is 0.786 1

the objective score of the algorithm is consistent with the subjective score. The algorithm is better for the identification of the quality evolution relation of the polarization resolution parameter images under different fog conditions

The objective evaluation results are in accordance with the subjective analysis. In this paper

a comprehensive quality evaluation model based on polarization parameter image is proposed

which can accurately evaluate the and images in the parametric image by extracting the characteristic parameters and the Stokes parameters. The algorithm has high accuracy and good subjective and objective consistency

which can reflect the quality and correlation of the polarization parameter image

and can solve the problem of polarization imaging quality evaluation under the condition of fog.