期刊文献+

离焦模糊图像增强技术的研究 被引量:3

IMAGE ENHANCEMENT TECHNOLOGY FOR OUT-OF-FOCUS BLURRED IMAGE
下载PDF
导出
摘要 针对红外离焦图像处理后图像模糊效应问题 ,提出一种基于 L IP模型的 L ee图像增强算法的去模糊图像的算法 ,它能够有效地处理图像增强后的模糊效应 ,实现图像的清晰成像 ,该算法便于实现 ,可广泛地应用于图像显示技术 .文中介绍了该算法的原理并对电力设备红外离焦图像处理结果进行了分析 . An algorithm to solve the blur problem of processed infrared defocused image based on the LIP model of Lee algorithm of image enhancement was presented. It can solve the blur problem after image enhancement to get clear image, and is easily realized and applied widely to image display technology. The principle of the algorithm was introduced and the results of the algorithm to deal with the infrared defocused image of electrical device were analyzed.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2001年第6期447-450,共4页 Journal of Infrared and Millimeter Waves
关键词 红外离焦图像 图像增强 图像恢复 模糊效应 图像处理 infrared defocused image image enhancement image restoration
  • 引文网络
  • 相关文献

参考文献4

二级参考文献5

  • 1陈武凡.彩色图像边缘检测的新算法[J].中国科学:A辑,1995,25(2):219-224.
  • 2Deng G,Electron Lett,1993年,29卷,9期,803页
  • 3Deng G,IEEE Trans Image Processing,1995年,4卷,506页
  • 4Ji T L,IEEE Trans Med Imaging,1994年,13卷,4期,573页
  • 5陈武凡,中国科学.A,1995年,25卷,2期,219页

共引文献73

同被引文献31

  • 1曹茂永,孙农亮,郁道银.离焦模糊图像清晰度评价函数的研究[J].仪器仪表学报,2001,22(z2):259-260. 被引量:48
  • 2郑楚君,李榕,常鸿森.离焦模糊数字图像的Wiener滤波频域复原[J].激光杂志,2004,25(5):57-58. 被引量:27
  • 3刘克,杨静宇,权军,程永清.离焦图象模糊辨识及复原方法研究[J].自动化学报,1994,20(1):58-65. 被引量:12
  • 4Daugman J G. tIigh confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(11): 1148-1161.
  • 5Daugman J G. Demodulation by complex-valued wavelets for stochastic pattern recognition. International Journal of Wavelets, Multiresolution and Information Processing, 2003, 1(1): 1--17.
  • 6Daugman J G. How iris recognition works. IEEE Transac- tions on Circuits and Systems for Video Technology, 2004, 14(1): 21-30.
  • 7Wildes R P. Iris recognition: an emerging biometric tech- nology. Proceedings of the IEEE, 1997, 85(9): 1348-1363.
  • 8Kang B J, Park K R. A study on iris image restoration. In: Proceedings of the 5th International Conference on Audio- and Video-Based Biometric Person Authentication. tteidel- berg, Berlin: Springer-Verlag, 2005. 31-40.
  • 9Kang B J, Park K R. Real-time image restoration for iris recognition systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2007, 37(6): 1555-1566.
  • 10Ma L, Tan T N, Wang Y H, Zhang D X. Efficient iris recog- nition by characterizing key local variations. IEEE Transac- tions on Image Processing, 2004, 13(6): 739-750.

引证文献3

二级引证文献5

;
使用帮助 返回顶部