Exposure Interpolation for Two Large-Exposure-Ratio Images
Existing multi-scale exposure fusion (MEF) algorithms which focus on defining weight maps to extract reliable information. However, they are difficult to preserve brightness order among over-exposed regions of a bright image and under-exposed regions of a dark image in a fused image when input image...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9301288/ |
| _version_ | 1830090234043301888 |
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| author | Yi Yang Shiqian Wu Xue Feng Wang Zhengguo Li |
| author_facet | Yi Yang Shiqian Wu Xue Feng Wang Zhengguo Li |
| author_sort | Yi Yang |
| collection | DOAJ |
| description | Existing multi-scale exposure fusion (MEF) algorithms which focus on defining weight maps to extract reliable information. However, they are difficult to preserve brightness order among over-exposed regions of a bright image and under-exposed regions of a dark image in a fused image when input images are two large-exposure-ratio images. In this paper, a new concept of exposure interpolation, which generates an appropriate bracketed sequence of virtual images from two input images, is introduced to address the problem. The possibly minimal number of virtual images is determined by using an optimization method. Then, an effective method by employing the intensity mapping function (IMF) is proposed to generate virtual images with proportional exposure times. The final image is produced by fusing both the two input images and the virtual images using multi-scale fusion. Experimental results show that the brightness order is preserved much better and the MEF-SSIM is significantly improved by the exposure interpolation. |
| first_indexed | 2024-12-16T16:59:18Z |
| format | Article |
| id | doaj.art-40ee945afca14025a14c482cff9fc61b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T16:59:18Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-40ee945afca14025a14c482cff9fc61b2022-12-21T22:23:47ZengIEEEIEEE Access2169-35362020-01-01822714122715110.1109/ACCESS.2020.30462689301288Exposure Interpolation for Two Large-Exposure-Ratio ImagesYi Yang0https://orcid.org/0000-0002-4930-7359Shiqian Wu1https://orcid.org/0000-0002-6383-7663Xue Feng Wang2Zhengguo Li3https://orcid.org/0000-0002-4525-1204School of Information Science and Engineering, Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, ChinaSchool of Information Science and Engineering, Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, ChinaNeusoft Corporation, Shenyang, ChinaInstitute for Infocomm Research, SingaporeExisting multi-scale exposure fusion (MEF) algorithms which focus on defining weight maps to extract reliable information. However, they are difficult to preserve brightness order among over-exposed regions of a bright image and under-exposed regions of a dark image in a fused image when input images are two large-exposure-ratio images. In this paper, a new concept of exposure interpolation, which generates an appropriate bracketed sequence of virtual images from two input images, is introduced to address the problem. The possibly minimal number of virtual images is determined by using an optimization method. Then, an effective method by employing the intensity mapping function (IMF) is proposed to generate virtual images with proportional exposure times. The final image is produced by fusing both the two input images and the virtual images using multi-scale fusion. Experimental results show that the brightness order is preserved much better and the MEF-SSIM is significantly improved by the exposure interpolation.https://ieeexplore.ieee.org/document/9301288/Exposure interpolationdifferently exposed imagesbrightness order reversalvirtual imagesMEF-SSIM |
| spellingShingle | Yi Yang Shiqian Wu Xue Feng Wang Zhengguo Li Exposure Interpolation for Two Large-Exposure-Ratio Images IEEE Access Exposure interpolation differently exposed images brightness order reversal virtual images MEF-SSIM |
| title | Exposure Interpolation for Two Large-Exposure-Ratio Images |
| title_full | Exposure Interpolation for Two Large-Exposure-Ratio Images |
| title_fullStr | Exposure Interpolation for Two Large-Exposure-Ratio Images |
| title_full_unstemmed | Exposure Interpolation for Two Large-Exposure-Ratio Images |
| title_short | Exposure Interpolation for Two Large-Exposure-Ratio Images |
| title_sort | exposure interpolation for two large exposure ratio images |
| topic | Exposure interpolation differently exposed images brightness order reversal virtual images MEF-SSIM |
| url | https://ieeexplore.ieee.org/document/9301288/ |
| work_keys_str_mv | AT yiyang exposureinterpolationfortwolargeexposureratioimages AT shiqianwu exposureinterpolationfortwolargeexposureratioimages AT xuefengwang exposureinterpolationfortwolargeexposureratioimages AT zhengguoli exposureinterpolationfortwolargeexposureratioimages |