Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering

ZHAO Chun li; DONG Jing wei; XU Bo; MA Xiao feng

doi:10.15938/j.jhust.2019.06.014

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Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering

更新时间：2026-08-31

- Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering
- Vol. 24, Issue 6, Pages: 93-97(2019)
- 作者机构：
  
  哈尔滨理工大学测控技术与通信工程学院，测控技术与仪器黑龙江省高校重点实验室,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2019.06.014
  CLC： TP391
- Published：2019
- 稿件说明：
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ZHAO Chun li, DONG Jing wei, XU Bo, et al. Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering[J]. 2019, 24(6): 93-97.
DOI：

ZHAO Chun li, DONG Jing wei, XU Bo, et al. Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering[J]. 2019, 24(6): 93-97. DOI： 10.15938/j.jhust.2019.06.014.

摘要

摘要:为了改进目前去雾算法存在的不足，将直方图均衡化算法与同态滤波算法相结合，对雾天图像进行增强处理。首先用改进的同态滤波算法来校正光照不均图像的亮度，用对数运算实现非线性问题线性化，同时将低频和高频分量分离开，使用高通滤波器抑制低频信息，然后应用直方图均衡化算法对图像的低频成分进行非线性拉伸，重新分配图像的像素值，以此来增强雾天模糊的图像。用Matlab进行仿真实验，通过视觉效果及运行时间和信息熵的对比表明，改进的算法要优于单独使用两种算法时处理的结果。

Abstract

Abstract:In order to improve the shortcomings of the currentfog algorithm

the histogram equalization algorithm and the homomorphicfiltering algorithm are combined to enhance the fog image.First

the improved homomorphic filtering algorithm is used to correct the brightnessof the illumination uneven image

and the nonlinear problem is linearized bythe logarithmic operation. At the same time

the low frequency and highfrequency components are separated

the high frequency filter is used tosuppress the low frequency information

and then the histogram equalizationalgorithm is used to nonlinearly stretch the low frequency components of the image

and the pixel values of the image are redistributed to enhance the fog Image.Simulationused by Matlab

the comparison of visual effects and run time and informationentropy shows that the improved algorithm is better than the result of the twoalgorithms alone.

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