Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering
In order to improve the shortcomings of the current fog algorithm, the histogram equalization algorithm and the homomorphic filtering algorithm are combined to enhance the fog image.First, the improved homomorphic filtering algorithm is used to correct the brightness of the illumination uneven image...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2019-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1804 |
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| Summary: | In order to improve the shortcomings of the current fog algorithm, the histogram equalization algorithm and the homomorphic filtering algorithm are combined to enhance the fog image.First, the improved homomorphic filtering algorithm is used to correct the brightness of the illumination uneven image, and the nonlinear problem is linearized by the logarithmic operation. At the same time, the low frequency and high frequency components are separated, the high frequency filter is used to suppress the low frequency information, and then the histogram equalization algorithm 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.Simulation used by Matlab,the comparison of visual effects and run time and information entropy shows that the improved algorithm is better than the result of the two algorithms alone. |
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| ISSN: | 1007-2683 |