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彩色图像增强的几种方法研究比较 被引量:5

Research on the Comparison of Color Image Enhancement Techniques
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摘要 彩色图像中包含有丰富的细节信息,为了获得清晰的彩色图像,保护原有的彩色信息,消除亮度不够对彩色图像像质的影响,笔者在研究彩色图像增强原理的基础上,根据彩色图像的不同模型,对比了3种不同的彩色图像增强方法,并给出了实验结果。研究结果表明,应用增强彩色图像中的亮度信息的方法,既得到了清晰的彩色图像,又保护了原有的彩色信息,而且图像像质还强于Pho-toshop软件处理的效果。实验结果为彩色图像增强方法的选择提供了指导和参考依据。 Color image contains abundant detailed information. Based on different models of color image and the study on color image enhancement principle, three color image enhancement techniques are compared with each other to acquire a clear color image, protect the original color information and eliminate the effect of lack of brightness on image quality. The results show that by enhancing the image brightness, clear color image can be acquired, the original color information can be protected, and an image quality better than Photoshop can be obtained. The experimental results provide guidance and reference for the selection of color image enhancement technique.
出处 《北京石油化工学院学报》 2006年第3期43-47,共5页 Journal of Beijing Institute of Petrochemical Technology
关键词 彩色图像 图像增强 伪彩色 对数变换 color image image enhancement pseudo-color logarithm transform
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参考文献4

  • 1[2]CHEUNGHN,BOUZERDOUMA,NEWLANDW.Properties of shunting inhibitory cellular neural networks for color image enhancement[A].The 6th International Conference on Neural Information Processing[C].1999(3):1219-1223.
  • 2[3]井上诚喜,八木伸行等.实用数字图像处理[M].北京:科学出版社,2003:9.
  • 3王超,叶中付.基于变分的图像增强算法和伪彩色映射[J].数据采集与处理,2005,20(1):18-22. 被引量:8
  • 4[5]Tsagaris V,Anastassopoulos V.Multispectral image fusion method using perceptual attributes[A].Image and Signal Processing for Remote Sensing IX,Proceedings of SPIE[C].2004,5328:357-367.

二级参考文献5

  • 1章毓晋.图像工程(上册)-图像处理和分析[M].北京:清华大学出版社,1999.254-269.
  • 2Sherrier R H, Johnson G A. Regionally adaptive histograme equalization of the chest[J]. IEEE Trans Med Imag, 1987,MI-6:1~7.
  • 3Tsagaris V, Anastassopoulos V. Multispectral image fusion method using perceptual attributes[A]. Image and Signal Processing for Remote Sensing IX, Proceedings of SPIE[C]. 2004,5328:357~367.
  • 4Socolinsky D A. A variational approach to image fusion[D]. The Johns Hopkins University, Baltimore, Maryland, 2000.10~50.
  • 5Socolinsky D A. Dynamic range constraints in image fusion and visualization[A]. Proc Signal and Image Processing 2000[C]. IASTED2000, Las Vegas, NV,2000.349~354.

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引证文献5

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