去雾综述_偏振光学成像去雾技术综述
【1】Xu Y, Wen J, Fei L K, et al. Review of video and image defogging algorithms and related studies on image restoration and enhancement[J]. IEEE Access, 2016, 4: 165-188.
【2】Guo Fan, Cai Zixing, Xie Bin, et al. Review and prospect of image dehazing techniques[J]. Journal of Computer Applications, 2010, 30(9): 2417-2421.
郭 璠, 蔡自兴, 谢 斌, 等. 图像去雾技术研究综述与展望[J]. 计算机应用, 2010, 30(9): 2417-2421.
【3】Liu J, Wang X, Chen M, et al. Thin cloud removal from single satellite images[J]. Optics Express, 2014, 22(1): 618-632.
【4】Rajput G S, Rahman Z. Hazard detection on runways using image processing techniques[C]. Defense and Security Symposium of SPIE, 2008: 69570D.
【5】Russo F. An image enhancement technique combining sharpening and noise reduction[J]. IEEE Conference on Instrumentation and Measurement, 2002, 51(4): 824-828.
【6】He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Conference on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.
【7】Tan R T. Visibility in badweather from a single image[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2008:1-8.
【8】Tarel J P, Hautière N. Fast visibility restoration from a single color or gray level image[C]. IEEE Conference on Computer Vision, 2009: 2201-2208.
【9】Fattal R. Single image dehazing[J]. Acm Transactions on Graphics, 2008, 27(3): 1-9.
【10】Kopf J, Neubert B, Chen B, et al. Deep photo: Model-based photograph enhancement and viewing[J]. ACM transactions on graphics (TOG), 2008, 27(5): 116.
【11】Schaul L, Fredembach C, Süsstrunk S. Color image dehazing using the near-infrared[C]. IEEE International Conference on Image Processing (ICIP), 2009: 1629-1632.
【12】Feng Chen, Zhuo Shaojie, Zhang Xiaopeng, et al. Near-infrared guided color image dehazing[C]. IEEE 20th International Conference on Image Processing, 2013: 2363-2367.
【13】Chen Z Y, Wang X, Liang R G. RGB-NIR multispectral camera[J]. Optics Express, 2014, 22(5): 4985-4994.
【14】Schechner Y Y, Narasimhan S G, Nayar S K. Polarization-based vision through haze[J]. Applied Optics, 2003, 42(3): 511-525.
【15】Nayar S K, Narasimhan S G. Vision in bad weather[C]. IEEE Conference on Computer Vision, 1999, 2: 820-827.
【16】Chang P C Y, Flitton J C, Hopcraft K I, et al. Improving visibility depth in passive underwater imaging by use of polarization[J]. Applied Optics, 2003, 42(15): 2794-2803.
【17】Schechner Y Y, Narasimhan S G, Nayar S K. Instant dehazing of images using polarization[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2001, 1: I-I.
【18】Namer E, Schechner Y Y. Advanced visibility improvement based on polarization filtered images[C]. International Society for Optics and Photonics, 2005: 588805.
【19】Mudge J, Virgen M. Real time polarimetric dehazing[J]. Applied Optics, 2013, 52(9): 1932-1938.
【20】Feng B, Shi Z. PD based determination of polarized reflection regions in bad weather[C]. IEEE Conference on Image and Signal Processing, 2009: 1-5.
【21】Shwartz S, Namer E, Schechner Y Y. Blind haze separation[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2006, 2: 1984-1991.
【22】Kaftory R, Schechner Y Y, Zeevi Y Y. Variational distance-dependent image restoration[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2007: 1-8.
【23】Namer E, Shwartz S, Schechner Y Y. Skyless polarimetric calibration and visibility enhancement[J]. Optics Express, 2009, 17(2): 472-493.
【24】Fang S, Xia X S, Huo X, et al. Image dehazing using polarization effects of objects and airlight[J]. Optics Express, 2014, 22(16): 19523-19537.
【25】Huang B J, Liu T G, Hu H F, et al. Underwater image recovery considering polarization effects of objects[J]. Optics Express, 2016, 24(9): 9826-9838.
【26】Liu F, Cao L, Shao X P, et al. Polarimetric dehazing utilizing spatial frequency segregation of images[J]. Applied Optics, 2015, 54(27): 8116-8122.
【27】Cao L, Shao X P, Liu F, et al. Dehazing method through polarimetric imaging and multi-scale analysis[C]. SPIE Sensing Technology Applications, 2015, 9501: 950111.
【28】Wang Yong, Xue Mogen, Huang Qinchao. Polarization dehazing algorithm based on atmosphere background suppression[J]. Computer Engineering, 2009, 35(4): 271-272.
王 勇, 薛模根, 黄勤超. 基于大气背景抑制的偏振去雾算法[J]. 计算机工程, 2009, 35(4): 271-272.
【29】Peng Wenzhu. Polarization dehazing algorithm based on atmosphere scattering model[J]. Electronic Measurement Technology, 2011, 34(7): 43-45.
彭文竹. 基于大气散射模型的偏振图像去雾算法[J]. 电子测量技术, 2011, 34(7): 43-45.
【30】Zhang Xiaoling, Xu Yan, Wang Xiaozhong, et al. Research on image fusion based on polarization of haze[J]. Journal of Xiamen University (Natural Science), 2011, 50(3): 520-524.
张晓玲, 许 炎, 王晓忠, 等. 基于薄雾偏振特性的图像融合方法[J]. 厦门大学学报(自然科学版), 2011, 50(3): 520-524.
【31】Schechner Y Y, Karpel N. Clear underwater vision[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2004, 1: I-I.
【32】Schechner Y Y, Karpel N. Recovery of underwater visibility and structure by polarization analysis[J]. IEEE Journal of Oceanic Engineering, 2005, 30(3): 570-587.
【33】Goldstein D H. Polarized light[M]. Boca Raton: Taylor and Francis, 2010.
【34】Solomon J E. Polarization imaging[J]. Applied Optics, 1981, 20(9): 1537-1544.
【35】Zhang W J, Cao Y, Zhang X Z, et al. Sky light polarization detection with linear polarizer triplet in light field camera inspired by insect vision[J]. Applied Optics, 2015, 54(30): 8962-8970.
【36】Liang J, Ren L Y,Ju H J, et al. Visibility enhancement of hazy images based on a universal polarimetric imaging method[J]. Journal of Applied Physics, 2014, 116(17): 173107.
【37】Liang J, Ren L Y, Qu E S, et al. Method for enhancing visibility of hazy images based on polarimetric imaging[J]. Photonics Research, 2014, 2(1): 38-44.
【38】Zhang W F, Liang J, Ju H J, et al. A robust haze-removal scheme in polarimetric dehazing imaging based on automatic identification of sky region[J]. Optics & Laser Technology, 2016, 86: 145-151.
【39】Liang J, RenL Y, Ju H J, et al. Polarimetric dehazing method for dense haze removal based on distribution analysis of angle of polarization[J]. Optics Express, 2015, 23(20): 26146-26157.
【41】Liang J, Zhang W F, Ren L Y, et al. Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion[J]. Applied Optics, 2016, 55(29): 8221-8226.
【42】Andreou A G, Kalayjian Z K. Polarization imaging: Principles and integrated polarimeters[J]. IEEE Sensors Journal, 2002, 2(6): 566-576.
【43】Shen J, WangH B, Chen Z, et al. Polarization calculation and underwater target detection inspired by biological visual imaging[J]. Sensors & Transducers, 2014, 169(4): 33-41.
【44】Rowe M P, Tyo J S, Engheta N, et al. Polarization-difference imaging: A biologically inspired technique for observation through scattering media[J]. Optics Letters, 1995, 20(6): 608-610.
【45】Pugh E N, Engheta N. Colorimetric representations for use with polarization-difference imaging of objects in scattering media[J]. Journal of the Optical Society of America A, 1998, 15(2): 367-374.
【46】Yemelyanov K M, Lin S S, Pugh J E N, et al. Adaptive algorithms for two-channel polarization sensing under various polarization statistics with nonuniform distributions[J]. Applied Optics, 2006, 45(22): 5504-5520.
【47】Brousseau D, Plant J, Thibault S. Real-time polarization difference imaging (rPDI) reveals surface details and textures in harsh environments[C]. SPIE, 2013, 8720: 87200E.
【48】Fade J, Panigrahi S, Carré A, et al. Long-range polarimetric imaging through fog[J]. Applied Optics, 2014, 53(18): 3854-3865.
【49】Treibitz T, Schechner Y Y. Active polarization descattering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(3): 385-399.
【50】Savage L. Underwater imaging gets clearer[J]. Optics and Photonics News, 2013, 24(7): 30-37.
【53】MacKintosh F C, Zhu J X, Pine D J, et al. Polarization memory of multiply scattered light[J]. Physical Review B, 1989, 40(13): 9342.
【54】Kim A D, Moscoso M. Backscattering of circularly polarized pulses[J]. Optics Letters, 2002, 27(18): 1589-1591.
【55】Nothdurft R, Yao G. Applying the polarization memory effect in polarization-gated subsurface imaging[J]. Optics Express, 2006, 14(11): 4656-4661.
【56】Ni X H, Alfano R R. Time-resolved backscattering of circularly and linearly polarized light in a turbid medium[J]. Optics Letters, 2004, 29(23): 2773-2775.
【57】Tyo J S, Goldstein D L, Chenault D B, et al. Review of passive imaging polarimetry for remote sensing applications[J]. Applied Optics, 2006, 45(22): 5453-5469.
【58】Trippe S. Polarization and polarimetry: A review[J]. Journal of the Korean Astronomical Society, 2014, 47(1): 15-39.
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