Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering
Due to the large dynamic range of real scenes, it is difficult for images taken by ordinary devices to represent high-quality real scenes. To obtain high-quality images, the exposure fusion of multiple exposure images of the same scene is required. The fusion of multiple images results in the loss o...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/8/1211 |
| _version_ | 1797446686778327040 |
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| author | Yunxue Hu Chao Xu Zhengping Li Fang Lei Bo Feng Lingling Chu Chao Nie Dou Wang |
| author_facet | Yunxue Hu Chao Xu Zhengping Li Fang Lei Bo Feng Lingling Chu Chao Nie Dou Wang |
| author_sort | Yunxue Hu |
| collection | DOAJ |
| description | Due to the large dynamic range of real scenes, it is difficult for images taken by ordinary devices to represent high-quality real scenes. To obtain high-quality images, the exposure fusion of multiple exposure images of the same scene is required. The fusion of multiple images results in the loss of edge detail in areas with large exposure differences. Aiming at this problem, this paper proposes a new method for the fusion of multi-exposure images with detail enhancement based on homomorphic filtering. First, a fusion weight map is constructed using exposure and local contrast. The exposure weight map is calculated by threshold segmentation and an adaptively adjustable Gaussian curve. The algorithm can assign appropriate exposure weights to well-exposed areas so that the fused image retains more details. Then, the weight map is denoised using fast-guided filtering. Finally, a fusion method for the detail enhancement of Laplacian pyramids with homomorphic filtering is proposed to enhance the edge information lost by Laplacian pyramid fusion. The experimental results show that the method can generate high-quality images with clear edges and details as well as similar color appearance to real scenes and can outperform existing algorithms in both subjective and objective evaluations. |
| first_indexed | 2024-03-09T13:45:07Z |
| format | Article |
| id | doaj.art-55c37f36e3be4ae6b5ff4b1defd11b98 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T13:45:07Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-55c37f36e3be4ae6b5ff4b1defd11b982023-11-30T21:01:56ZengMDPI AGElectronics2079-92922022-04-01118121110.3390/electronics11081211Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic FilteringYunxue Hu0Chao Xu1Zhengping Li2Fang Lei3Bo Feng4Lingling Chu5Chao Nie6Dou Wang7School of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Humanities, Shanghai University of Finance and Economics, Shanghai 200433, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaSchool of Integrated Circuits, Anhui University, Hefei 230601, ChinaDue to the large dynamic range of real scenes, it is difficult for images taken by ordinary devices to represent high-quality real scenes. To obtain high-quality images, the exposure fusion of multiple exposure images of the same scene is required. The fusion of multiple images results in the loss of edge detail in areas with large exposure differences. Aiming at this problem, this paper proposes a new method for the fusion of multi-exposure images with detail enhancement based on homomorphic filtering. First, a fusion weight map is constructed using exposure and local contrast. The exposure weight map is calculated by threshold segmentation and an adaptively adjustable Gaussian curve. The algorithm can assign appropriate exposure weights to well-exposed areas so that the fused image retains more details. Then, the weight map is denoised using fast-guided filtering. Finally, a fusion method for the detail enhancement of Laplacian pyramids with homomorphic filtering is proposed to enhance the edge information lost by Laplacian pyramid fusion. The experimental results show that the method can generate high-quality images with clear edges and details as well as similar color appearance to real scenes and can outperform existing algorithms in both subjective and objective evaluations.https://www.mdpi.com/2079-9292/11/8/1211dynamic rangeexposure fusionhomomorphic filteringgaussian curvelaplacian pyramid |
| spellingShingle | Yunxue Hu Chao Xu Zhengping Li Fang Lei Bo Feng Lingling Chu Chao Nie Dou Wang Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering Electronics dynamic range exposure fusion homomorphic filtering gaussian curve laplacian pyramid |
| title | Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering |
| title_full | Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering |
| title_fullStr | Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering |
| title_full_unstemmed | Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering |
| title_short | Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering |
| title_sort | detail enhancement multi exposure image fusion based on homomorphic filtering |
| topic | dynamic range exposure fusion homomorphic filtering gaussian curve laplacian pyramid |
| url | https://www.mdpi.com/2079-9292/11/8/1211 |
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