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薄雾模糊图像的恢复算法研究 被引量:1

The Restoration Algorithm Research for Blurred Image with Mist
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摘要 成像光波受到大气中薄雾干扰,形成模糊图像。文章基于最大熵算法,分析了成像系统点扩展函数畸变导致图像模糊的机理,提出了一种有效的薄雾模糊图像的恢复算法。 The blurred image is produced when imaging light-wave is disturbed by atmosphere mist. Based on maximum entropy algorithm, analyzing the blurring mechanism with the aberration of point spread function of imaging system, an effective restoration algorithm for blurred image with mist is proposed in this paper.
出处 《红外技术》 CSCD 北大核心 2004年第6期76-78,共3页 Infrared Technology
关键词 模糊图像 恢复算法 点扩展函数 最大熵 图像模糊 成像系统 干扰 光波 畸变 image restoration, maximum entropy algorithm, point spread function(PSF) , compound Gauss function
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  • 1Sermsak Jaruwatanadilok, Akiram Ishimaru, Yasuo Kuga. Optical Imaging Through Clouds and Fog[J]. IEEE Transactions on Geoscience and remote Sensing.2003, 141(8): 1834- 1843.
  • 2John P. Oakley, Brenda L. Satherley. Improving Image Quality in Poor Visibility Conditions Using a Physical Model for Contrast Degradation[J]. IEEE Transaction on Image Processing. Vol.7, No.2, February 1998:167~ 179.
  • 3B.R. Frieden. Restoring with maximum likelihood and maximum entropy. J. Opt. Soc. Am. Vol. 62. 1972:511 -518.
  • 4B.R. Frieden, David J. Graser. Closed-Form Maximum Entropy Image Restoration. Optics Communications 146(1998): 79-84.

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