辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2011, Vol. 31 ›› Issue (2): 45-49.DOI: 10.3696/j.issn.1672-6952.2011.02.013

• 计算机与自动化 • 上一篇    下一篇

一种有雾图像低对比度增强的方法

李拂晓,纪玉波*   

  1. 辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001
  • 收稿日期:2010-12-20 出版日期:2011-06-25 发布日期:2017-07-05
  • 作者简介:李拂晓(1983-),女,辽宁抚顺市,在读硕士。

Method to Enhance Contrast of Fog-Degraded Images

LI Fu-xiao，JI Yu-bo*   

  1. School of Computer and Communication Engineering， Liaoning Shihua University， Fushun Liaoning 113001，P.R.China
  • Received:2010-12-20 Published:2011-06-25 Online:2017-07-05

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摘要： 为了提高有雾图像的能见度,提出一种雾天降质图像清晰化方法。该方法根据图像的灰度分布特
性,将高灰度区域的像素映射到模糊域处理以便得到天空区域的灰度值分布范围,将天空区域和景物部分区分开,
以便增强景物细节信息和避免天空噪声的影响。利用移动模板对各局部区域进行子块重叠双直方图均衡化实现清
晰化处理,从而克服直方图均衡化时模板内景物不同深度退化差异的情况。实验结果表明,该方法能有效地改善雾
天时图像的退化现象和提高图像的清晰度。

关键词: 雾天降质图像 ,  ,  , 对比度增强 ,  , 模糊域 ,  , 子块重叠双直方图均衡化

Abstract:  

To advance the visibility of the fog-degraded image, a method for fog-degraded image clearness was presented. To restrain the noise amplification in sky region，the sky region first was segmented before enhancement, then using optimal normal distribution to put the pixels of the high grey region into that of the fuzzy，the range of pixel value in the sky can be got. By the information，the sky region can be segmented from the image. A moving mask was adopted to segment scene at different depth，then each pixel in the mask is processed using block-overlapped bi-histogram equalization. The experimental results show that this method can efficiently improve the degradation of image and enhance the clearness of image.

Key words: Fog-degraded images , Contrast enhancement , Fuzzy area ,  , Sub-block overlapped bi-histogram equalization

引用本文

李拂晓,纪玉波. 一种有雾图像低对比度增强的方法[J]. 辽宁石油化工大学学报, 2011, 31(2): 45-49.

LI Fu-xiao，JI Yu-bo. Method to Enhance Contrast of Fog-Degraded Images[J]. Journal of Liaoning Petrochemical University, 2011, 31(2): 45-49.

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链接本文: http://journal.lnpu.edu.cn/CN/10.3696/j.issn.1672-6952.2011.02.013

               http://journal.lnpu.edu.cn/CN/Y2011/V31/I2/45



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