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大气退化的自然山体图像复原研究 被引量：4

Research on Atmospheric Degradation of Terrain Photo and Its Image Restoration
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摘要 不同时间段拍摄的自然山体图像存在不同的大气退化影响 .在这些图像的不同部分 ,大气退化影响的程度也不同 .这类图像的大气退化特征直接影响了图像的对比分析和理解 .文中探讨了自然山体图像由于大气原因而产生的退化现象 ,分析了图像的视觉特征 ,建立一个统一的基于输运理论的模型 .该模型可以在 There are different atmospheric degradation levels among different parts of a terrain photo. Also terrain photos taken at different moment show different atmospheric characters. Such kind of atmospheric degradation influence blocks the further image analysis and understanding. This paper explores the influence that atmospheric degradation exerts on the illumination and brings forward a transport theory based HSV model that expresses the change of value, saturation and hue .We adopt them to process the picture of nature terrain and the restoration result is satisfying.
作者 钱徽 朱淼良
机构地区 浙江大学计算机科学与工程学系
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2002年第6期526-529,共4页 Journal of Computer-Aided Design & Computer Graphics
基金 国防科技预研跨行业基金 ( 98J4.6 .1 .JW0 40 5 )资助
关键词 大气退化 自然山体 图像复原 图像处理 计算机视觉 atmospheric degradation, image restoration, transport theory, HSV
分类号 P409 [天文地球—大气科学及气象学] TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献11

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同被引文献29

  • 1刘锦锋,黄峰.天气影响的场景影像复原方法[J].光电工程,2005,32(1):71-73. 被引量：5
  • 2董慧颖,方帅,王欣威,徐心和.基于物理模型的恶化天气下的图像复原方法及应用[J].东北大学学报（自然科学版）,2005,26(3):217-219. 被引量：7
  • 3赵忠明,朱重光.遥感图象中薄云的去除方法[J].环境遥感,1996,11(3):195-199. 被引量：65
  • 4Narasimhan S G, Nayar S K. Vision and the atmosphere [J]. International Journal of Computer Vision, 2002,48 (3) : 233-254.
  • 5Narasimhan S G,Nayar S K. Interactive (de)weathering of an image using physcial models [C]. ICCV Workshop on Color and Photometric Methods in Comp Vision(CPMCV), 2003,1:665-672.
  • 6He Kaiming, Sun Jian, Tang Xiaoou. Single image haze removal using dark channel prior[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009: 1956-1963.
  • 7Levin A, Lischinski D, Weiss Y. A closed-form solution to natural image matting[J]. IEEE Transactions on Patlern Analysis and Machine Intelligence, 2008,30(2): 228-242.
  • 8Yi-Shu Zhai, Xiao-Ming Liu. An improved fog-degraded image enhancement algorithm[C]//Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, China, 2007 : 2-4.
  • 9Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25 (6) : 713- 724.
  • 10S.G.Narasimhan and S.K.Nayar,Vision and Atmosphere[J].International Journal of Computer Vision 48(3),233-254,202.

引证文献4

二级引证文献13

计算机辅助设计与图形学学报
2002年 第6期

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