| we use the bicubic algorithm,the bilinear algorithm,and the bicubic spline interpolation algorithm were used to deal with the polarization images of the leaves,which have similar shapes but different materials.We build the polarization detection system for polarization imaging of the leaves,which have similar shapes with the different materials,In addition,the bicubic algorithm,the bilinear algorithm,and the bicubic spline interpolation algorithm were also used to calculate and process the polarization images of the leaves with different angles ?0,?45,?90 and ?135.Furthermore,the image fusion technology was employed to fuse polarization images after the interpolation,Based on the Stokes vector,the degree of the linear polarization and the angle of the linear polarization,the polarization images of different directions were calculated and processed after the interpolation;Compareing and analyzing the polarization images of the leaves after the interpolation,we find that the mean square error of the polarization image is decreased after the interpolation,and the contrast is significantly improved,and the peak signalof the noise ratio is greater than 65.The bicubic interpolation algorithm and the bilinear interpolation algorithm were utilized to restore the image by processing the extracted 1/4 pixel values of the polarization image of the leaves The results showed that the purpose of identifying the texture of the image is clear.Furthermore,the mean square error and the peak signal-to-noise ratio were used to compare and analysis the polarization images of the leaves before and after the interpolation.The results indicated that the mean square error of the polarization image is decreased after the interpolation,and the peak signal of the noise ratio is greater than 40.This work can provide a reference for the restoration of incomplete image and the image reconstruction,and the focal plane of polarization detector for the application of interpolation method. |
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