[2] [2] Tyo, J.S., Goldstein, D.L., Chenault, D.B., Shaw, J.A.: Review of passive imaging polarimetry for remote sensing applications. Appl. Opt. 45(22), 5453–5469 (2006)

[3] [3] Schechner, Y.Y., Narasimhan, S.G., Nayar, S.K.: Polarizationbased vision through haze. Appl. Opt. 42(3), 511–525 (2003)

[4] [4] Liu, F., Cao, L., Shao, X., Han, P., Bin, X.: Polarimetric dehazing utilizing spatial frequency segregation of images. Appl. Opt. 54(27), 8116–8122 (2015)

[5] [5] Cao, N., Liu, W., Zhang, Y.: Quantitative study of improvements of the imaging contrast and imaging range by the polarization technique. Acta Physica Sinica 49(1), 61–66 (2000)

[6] [6] Terrier, P., Devlaminck, V., Charbois, J.M.: Segmentation of rough surfaces using a polarization imaging system. J. Opt. Soc. Am. A Opt. Image Sci. Vis. 25(2), 423–430 (2008)

[7] [7] Anna, G., Goudail, F., Dolfi, D.: Optimal discrimination of multiple regions with an active polarimetric imager. Opt. Express 19(25), 25367–25378 (2011)

[8] [8] Du, W., Jia, W., Zhang, Z., Wang, C.: Optimization of the infrared Stokes imaging polarimeter. SPIE (2017)In: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

[9] [9] Liu, L.: Research on multispectral image fusion and its evaluation methods. Dissertation for the Master Degree. Chengdu: University of Electronic Science and Technology of China (2012)

[10] [10] Wang, J.: Research and application of multispectral image fusion. Dissertation for the Master Degree. Wuhan: Wuhan Institute of Technology (2007)

[11] [11] Hu, G., Liu, Z., Xu, X., Gao, R.: Research and recent development of image fusion at pixel level. Overview of security standard in Internet of Vehicles 25(3), 650–655(2008).

[12] [12] Hong, R.: Research on multi-source image fusion algorithm and application. Dissertation for the Doctoral Degree. Hefei: University of Science and Technology of China (2008)

[13] [13] Li, H.: Research on multi-sensor image fusion algorithm. Dissertation for the Doctoral Degree. Xi’an: Northwestern Polytechnical University (2006)

[14] [14] Zhang, J., Fang, Y.: Algorithm and evaluation for polarization image fusion based on edge information. Opto-Electronic Eng. 34(11), 78–81 (2007)

[15] [15] Zhang, J., Fang, Y.: Novel image fusion algorithm for multiband polarimetric image based on visible light. Acta Opt. Sin. 28(6), 1067–1072 (2008)

[16] [16] Zeng, H., Gu, G., He, W., Yang, W.: An adaptive fusion algorithm for visible polarization images. Acta Photonica Sinica 40(1), 132–135 (2011)

[17] [17] Shen, X., Liu, J., Gao, M.: Polarizing image fusion algorithm based on wavelet-contourlet transform. Infrared Technol. 42(2), 182–189 (2020)

[18] [18] Jiang, Z., Han, Y., Xie, R., Ren, S.: Research on an infrared polarized image fusion algorithm based on NSST transform. J. Optoelectronics Laser 31(11), 1140–1148 (2020)

[19] [19] Shi, G., Tuo, H., Wang, F., Yuan, H., Jia, R.: An adaptive selective fusion method for infrared polarization based on DWT. Ship Electron. Eng. 41(04), 174–177 (2021)

[20] [20] Yang, W., Wang, X., Zhao, H., Zhang, G.: Research on an improved underwater polarization image fusion algorithm. J. Changchun Univ. Sci. Technol. (Natural Science Edition)44(4), 43–49 (2021)

[21] [21] Wang, F., Zhang, Y., Wang, F., Zhu, D.: Photovoltaic cell electroluminescence polarization image fusion and defect detection. Electron. Meas. Technol. 45(19), 143–149 (2022)

[22] [22] Wang, C., Xu, S.: Underwater polarization image fusion method based on Retinex and wavelet transform. Appl. Laser 42(08), 116–122 (2022)

[23] [23] Chen, J., Chen, Y., Li, Y., Bai, X.: Fusion of infrared intensity and polarized images based on structure and decomposition. Infrared Technol. 45(3), 257–265 (2023)

[24] [24] Meng, J., Ren, W., Yu, R., Wu, D., Zhang, R., Xie, Y., Wang, J.: Contrast enhanced color polarization image fusion. Optik 284, 170935 (2023)

[25] [25] Gao, Y., Yu, J., Zhang, X.: Underwater evidence detection method based on polarization fusion image. Infrared Technol. 45(9), 962– 968 (2023)

[26] [26] Yang, T., Wang, X.: Face image enhancement based on polarization image fusion. Laser J. 44(3), 148–152 (2023)

[27] [27] Li, Y., Zhang, P., Zeng, Y., Yang, J., Zhou, Q., Jiang, X., Wang, M.: Re-mote sensing measurement by full-Stokes-vector based on opto-lectronic modulator. Infrared Laser Eng. 39(2), 335–338 (2010)

[28] [28] Raman, C.V.: Christiaan Huyghens and the wave theory of light. Proc. Indian Acad. Sci. Sect. A Phys. Sci. 49(4), 185–192 (1959)

[29] [29] Zhao, H., Li, H., Lin, X.: Statically modulated spectral polarization imaging system. Spectrosc. Spectral Anal. 35(4), 1129–1133 (2015)

[30] [30] Xue, P., Wang, Z., Zhang, R.: Highly efficient measurement technology based on hyper-spectro polarimetric imaging. Chin. J. Lasers 43(8), 269–276 (2016)

[31] [31] Ma, X.: Research on development and related application of high performance pixel polarization camera. Dissertation for the Doctoral Degree. Hefei: University of Science and Technology of China (2019)

[32] [32] Pezzaniti, J.L., Chenault, D.B.: A division of aperture MWIR imaging polarimeter. Proc. SPIE Int. Soc. Opt. Eng. 44(3), 515– 533 (2005)

[33] [33] Chen, Y., Zhu, Z., Liang, Z., Iannucci, L.E., Lake, S.P., Gruev, V.: Analysis of signal-to-noise ratio of angle of polarization and degree of polarization. OSA Continuum 4(5), 1461 (2021)

[34] [34] Gilboa, E., Cunningham, J.P., Nehorai, A., Gruev, V.: Image interpolation and denoising for division of focal plane sensors using Gaussian processes. Opt. Express 22(12), 15277–15291 (2014)

[35] [35] Miao, S., Fan, C., Wen, G., Gao, J., Zhao, G.: Research on denoising method for polarization degree image and polarization angle image of dim and weak targets. Acta Photonica Sinica 50(07), 108–120 (2021)

[36] [36] Qiao, J.: Research on image fusion technology based on polarization imaging. Dissertation for the Master Degree. Changchun: Changchun University of Science and Technology, 2017.

[37] [37] Tan, W., Tiwari, P., Pandey, H.M., Moreira, C., Jaiswal, A.K.: Multimodal medical image fusion algorithm in the era of big data. Neural Comput & Appl (2020).

[38] [38] Li, Y., Sun, Y., Huang, X., Qi, G., Zheng, M., Zhu, Z.: An image fusion method based on sparse representation and sum modified- Laplacian in NSCT domain. Entropy (Basel)20(7), 522 (2018)

[39] [39] Zhu, Z., Zheng, M., Qi, G., Wang, D., Xiang, Y.: A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain. IEEE Access 7, 20811– 20824 (2019)