【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.

去雾综述_偏振光学成像去雾技术综述相关推荐

  1. 以太坊去中心化_开发以太坊去中心化投票应用程序的指南

    以太坊去中心化 by Timothy Ko 蒂莫西·高(Timothy Ko) 开发以太坊去中心化投票应用程序的指南 (A guide to developing an Ethereum decent ...

  2. ae去黑插件_视频素材如何去黑底?送你这款插件,自动一键去黑底。适用AE、PR...

    视频素材如何去黑底?送你这款插件,自动一键去黑底.适用AE.PR 今天资源君为伙伴们带来的是:[视频素材一键去黑底Alpha透明通道制作Unmult],免费分享给大家. (领取方式见文章末尾) [视频 ...

  3. wps底纹去不掉_汽车异味总是去不掉?建议车主试试这5个办法,空气清新又好闻...

    我们很多的朋友在买完车之后都会有这样的困扰,车子里面异味较大,当然这是毋庸置疑的,我们买了新车就跟我们刚装修完的新房子一样,里面有一定的甲醛,而这些车子里面的异味通常都是由车内的塑料或者说皮革件产生的 ...

  4. srcnn 双三次插值_用于数字成像的双三次插值技术

    双三次插值是使用三次或其他多项式技术的2D系统,通常用于锐化和放大数字图像.在图像放大.重新采样时,或是在软件中润饰和编辑图像时也会使到用它.当我们对图像进行插值时,实际上是在将像素从一个网格转换到另 ...

  5. excel三次样条函数_用于数字成像的双三次插值技术?

    双三次插值是使用三次或其他多项式技术的2D系统,通常用于锐化和放大数字图像.在图像放大.重新采样时,或是在软件中润饰和编辑图像时也会使到用它.当我们对图像进行插值时,实际上是在将像素从一个网格转换到另 ...

  6. 【综述】对抗样本生成及攻防技术综述

    作者是电子科技大学的刘小垒等,2019年发表在计算机应用研究 主要内容: 以机器学习的安全性问题为出发点,介绍了当前机器学习面临的隐私攻击.完整性攻击等安全问题,归纳了目前常见对抗样本生成方法的发展过 ...

  7. 「技术综述」有三AI不得不看的技术综述

    https://www.toutiao.com/i6715153780863664653/ 文/编辑 | 言有三 最近遇到了很多新手来交流,网上资料甚多,筛选有时候是个大问题,一般遇到一个新方向,找技 ...

  8. 【杂谈】篇篇精华,有三AI不得不看的技术综述(超过100篇核心干货)

    文/编辑 | 言有三 有三AI很少写零散的报导,因为我们的文章通常都是提炼与总结,一般遇到一个新方向,找技术综述读一读是最合适的开始,大家也可以拓展一下自己的知识边界,今天总结一下有三AI迄今为止发过 ...

  9. 【杂谈】循序渐进,有三AI不得不看的技术综述(超过100篇核心干货)

    文/编辑 | 言有三 有三AI很少写零散的报导,因为我们的文章通常都是提炼与总结,一般遇到一个新方向,找技术综述读一读是最合适的开始,大家也可以拓展一下自己的知识边界,今天总结一下有三AI迄今为止发过 ...

最新文章

  1. 【ICML2021】学习权衡不完美的示范
  2. 一个简单遮罩弹窗效果
  3. IP phone配製學習
  4. iOS----------The app's Info.plist must contain an NSPhotoLibraryUsageDescription key
  5. Codeforces Round #740 (Div. 2, based on VK Cup 2021 - Final (Engine)) A-F全题解
  6. 强制将IE8设置为IE7兼容模式来解析网页(转)
  7. springboot 打印slf4_SpringBoot 整合 slf4j 日志打印
  8. 如何提高使用物联网卡应用的安全性
  9. cad lisp 微盘 程序_使用CAD无法避免的3个坑,你知道怎么绕开吗|AutoCAD断舍离
  10. c语言输出字母随机数,你好,怎样用c语言输出一个1到100的随机数
  11. 深度学习:神经网络neural network
  12. 百度文库解决复制问题
  13. 谋学网计算机维修,19秋学期西交《计算机组成原理》在线作业1(标准答案).doc...
  14. libcef-框架架构中概念介绍-进程-线程-引用计数-字符串等(一)
  15. 设计网站如何提高版式的设计水平?
  16. 戴尔3080计算机重装系统步骤,终于发现戴尔笔记本重装系统的方法
  17. MyIM2006开发报告1:概要
  18. 零基础python爬虫基础之王者荣耀图片下载(超级简单)
  19. 女程序员||想逃离的悲惨世界
  20. Apache Avro项目简介

热门文章

  1. app 的 icon图标 有黑边
  2. 自再现模形成过程matlab,激光原理课程设计--平行平面腔自再现模Fox-Li数值迭代解法及MATLAB实现.doc...
  3. Curio for Mac(头脑风暴思维导图)
  4. cisco IOS,nexus和Arista 的vrrp
  5. 什么是SEO?SEO是什么职业?
  6. 树-双亲表示法(含全部代码)
  7. Java缓存知识汇总
  8. 用 VR 玩《魔兽世界》是一种怎样的体验?
  9. 批量读取和写出excel数据#R语言#
  10. 关于mysql本地计算机上的MySQL服务启动后停止。某些服务在未由其他服务或程序使用时将自动停止问题