期刊文献+

多源图像彩色融合效果评价研究 被引量:1

Effect Evaluation of Multi-Source Image Color Fusion
下载PDF
导出
摘要 通过采用简单、基于增强处理和HSV变换、基于人眼视觉特性及YIQ变换的彩色融合得到4幅图像,分别对其进行主观和客观评价.主观评价实验对同一场景的可见光、中波红外和长波红外图像进行了不同的算法处理,将获取结果用于直方图统计对比分析.客观评价采用基于YIQ变换及加权平均的方法进行图像比较,并直接用对比度R、粗糙度G和熵B比较融合结果,提出应采用主、客观结合的评价方法. Four color fusion images are subjectively and objectively evaluated. The images are obtained from the simple color fusions based on enhanced treatment and HSV transform, human visual characteristics and YIQ transform. In the Subjective evaluation test, the visible image, medium-wave image and long-wave image in the same scene are processed according to different algorithms. The results are used to analyze comparatively statisti- cally the histograms. In the objective evaluation test, the images are compared through ways of YIQ transform and averaging, and then the fusion results are compared using directly contrast degree of R channel, rough de- gree of G channel and entropy of B channel. Conclusion is that the combination of subjective evaluation and objective evaluation can effectively evaluate the color fusion images.
机构地区 中北大学
出处 《光电技术应用》 2009年第2期75-79,共5页 Electro-Optic Technology Application
关键词 多源图像 彩色融合 主观评价 客观评价 multi-source images color fusion subjective evaluation objective evaluation
  • 相关文献

参考文献5

二级参考文献29

  • 1张光锋,张祖荫,郭伟.一种可见光与毫米波辐射图像的融合方法[J].激光与红外,2004,34(5):386-388. 被引量:3
  • 2倪国强.多波段图像融合算法研究及其新发展(Ⅱ)[J].光电子技术与信息,2001,14(6):1-6. 被引量:55
  • 3石俊生,金伟其,王岭雪.视觉评价夜视彩色融合图像质量的实验研究[J].红外与毫米波学报,2005,24(3):236-240. 被引量:20
  • 4[3]Comes S, et al. Human visual quality criterion[A]. Visual Communication and Image Processing[C]. SPIE,1990,1360:2-13.
  • 5[4]Xu W,et al. Picture quality evaluation based on error segmentation[J]. SPIE,1994,2308:1454-1465.
  • 6Vittot Michel (Villecresne F R),Fouassier Michele (Yerres F R).Low light level color image television system including electronic contrast enhancement system:US,5051821[P].1991-09-24.
  • 7Waxman Allen M (Newton M A),Fay David A,et al.Method and apparatus for generating a synthetic image by the fusion of signals representative of different views of the same scene:US,5555324[P].1996-09-10.
  • 8Waxman Allen M (Newton M A),Gove,et al.Real time adaptive digital image processing for dynamic range remapping of imagery including low-light-level visible imagery:US,5909244[P].1999-06-01.
  • 9Chiu Yue T (Eatontown N J),Krzyzkowski,et al.Color night vision camera system:US,5214503[P].1993-05-25.
  • 10Bear Philip D (Godfrey I L),Walrath Larry C.(Kirkwood,MO).Color night vision goggles capable of providing anti-jamming protection against pulsed and continuous wave jamming lasers:US,5756989[P].1998-05-26.

共引文献32

同被引文献10

  • 1杨俊,赵忠明.基于Curvelet变换的多聚焦图像融合方法[J].光电工程,2007,34(6):67-71. 被引量:20
  • 2E. Reinhard, M. Ashikhmin, B. Gooch, et al. Color transfer between images[J]. IEEE Computer Graphics and Applications, 2001, 21(5): 34-41.
  • 3Alexander Toet. Natural colour mapping for multiband nightvision imagery[J]. Information Fusion, 2003, 4(3): 155-166.
  • 4Maarten A. Hogervorst, Alexander Toet. Method for applying daytime colors to nighttime imagery in realtime[C] //Proceedings of SPIE, 2008, 6974: 03.1-03.9.
  • 5冈萨雷斯. 数字图像处理[M]. (第二版)北京: 电子工业出版社,2007.
  • 6Asmare M. H., Asirvadam V. S., Izhar L. I. Image enhancement: A composite image approach using contourlet transform[C] // Proceedings of IEEE, 2009 International Conference on Electrical Engineering and Informatics, 2009: 135.
  • 7Jean-Luc Starck, FionnMurtagh, Jalal M. Fadili. Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity[M]. Cambridge University Press, 2010.
  • 8李光鑫,徐抒岩,赵运隆,孙天宇.颜色传递技术的快速彩色图像融合[J].光学精密工程,2010,18(7):1637-1647. 被引量:13
  • 9张忠诚,孟庆华,沈振康.目标红外特征分析[J].红外技术,1999,21(4):25-28. 被引量:12
  • 10钱小燕,韩磊,王帮峰.红外与可见光图像快速融合算法[J].计算机辅助设计与图形学学报,2011,23(7):1211-1216. 被引量:19

引证文献1

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部