Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform

DONG Jing-wei; ZHAO Chun-li; HAI Bo

doi:10.15938/j.jhust.2019.01.011

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Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform

更新时间：2026-08-31

- Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform
- Vol. 24, Issue 1, Pages: 66-70(2019)
- 作者机构：
  
  1. 哈尔滨理工大学测控技术与通信工程学院,哈尔滨,150080
  2. 
  3. 测控技术与仪器黑龙江省高校重点实验室,黑龙江,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2019.01.011
  CLC： TP391
- Published：2019
- 稿件说明：
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DONG Jing-wei, ZHAO Chun-li, HAI Bo. Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform[J]. 2019, 24(1): 66-70.
DOI：

DONG Jing-wei, ZHAO Chun-li, HAI Bo. Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform[J]. 2019, 24(1): 66-70. DOI： 10.15938/j.jhust.2019.01.011.

摘要

摘要:针对雾天时图像退化严重，对比度低的问题，提出了一种改进算法。从时频分析的角度出发，将同态滤波算法中的傅立叶变换用快速小波变换代替，然后在变换域内用改进的滤波器对小波系数进行处理，从而达到增强雾天降质图像的目的。实验结果表明，改进算法能够有效校正雾天图像光照，保持图像原有信息不丢失，增强图像的对比度，使处理后的图像更具有可视性。

Abstract

Abstract:Aiming at the problem of severe degradation of fog weather image and low contrast

an improved algorithm is proposed . From the point of view of time frequency analysis

the Fourier transform in the homomorphic filtering algorithm is replaced by the fast wavelet transform

and then the wavelet coefficients are processed by the improved filter in the transform domain to achieve the enhanced fog image purpose. The experimental results show that the improved algorithm can effectively correct the fog image illumination

keep the original information of the image is not lost

enhance the contrast of the image

and make the processed image more visible

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