Robust Alignment of Multi-Exposed Images With Saturated Regions
It is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm is proposed to cope with the multi-exposed images with saturated regions. Specifically, the multi-exposed images are fir...
| 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 |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9286428/ |
| _version_ | 1811273965411237888 |
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| author | Jun Jiang Zhengguo Li Shoulie Xie Shiqian Wu Liangcai Zeng |
| author_facet | Jun Jiang Zhengguo Li Shoulie Xie Shiqian Wu Liangcai Zeng |
| author_sort | Jun Jiang |
| collection | DOAJ |
| description | It is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm is proposed to cope with the multi-exposed images with saturated regions. Specifically, the multi-exposed images are first normalized by using intensity mapping functions (IMFs) in consideration of saturated pixels. Then, the normalized images are coded by using the local binary pattern (LBP). Finally, the coded images are aligned by formulating an optimization problem by using a differentiable Hamming distance. Experimental results show that the proposed algorithm outperforms state-of-the-art alignment methods for multi-exposed images in terms of alignment accuracy and robustness to exposure values. |
| first_indexed | 2024-04-12T23:09:13Z |
| format | Article |
| id | doaj.art-2e8d1fe9cb794d339a4fe9fe86aaf628 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T23:09:13Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2e8d1fe9cb794d339a4fe9fe86aaf6282022-12-22T03:12:50ZengIEEEIEEE Access2169-35362020-01-01822168922169910.1109/ACCESS.2020.30432579286428Robust Alignment of Multi-Exposed Images With Saturated RegionsJun Jiang0https://orcid.org/0000-0002-0963-0354Zhengguo Li1https://orcid.org/0000-0002-4525-1204Shoulie Xie2Shiqian Wu3https://orcid.org/0000-0002-6383-7663Liangcai Zeng4Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaInstitute for Infocomm Research, SingaporeInstitute for Infocomm Research, SingaporeSchool of Information Science and Engineering, Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, ChinaKey Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, ChinaIt is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm is proposed to cope with the multi-exposed images with saturated regions. Specifically, the multi-exposed images are first normalized by using intensity mapping functions (IMFs) in consideration of saturated pixels. Then, the normalized images are coded by using the local binary pattern (LBP). Finally, the coded images are aligned by formulating an optimization problem by using a differentiable Hamming distance. Experimental results show that the proposed algorithm outperforms state-of-the-art alignment methods for multi-exposed images in terms of alignment accuracy and robustness to exposure values.https://ieeexplore.ieee.org/document/9286428/Multi-exposed imagesimage alignmentHamming distancelocal binary patternnormalization |
| spellingShingle | Jun Jiang Zhengguo Li Shoulie Xie Shiqian Wu Liangcai Zeng Robust Alignment of Multi-Exposed Images With Saturated Regions IEEE Access Multi-exposed images image alignment Hamming distance local binary pattern normalization |
| title | Robust Alignment of Multi-Exposed Images With Saturated Regions |
| title_full | Robust Alignment of Multi-Exposed Images With Saturated Regions |
| title_fullStr | Robust Alignment of Multi-Exposed Images With Saturated Regions |
| title_full_unstemmed | Robust Alignment of Multi-Exposed Images With Saturated Regions |
| title_short | Robust Alignment of Multi-Exposed Images With Saturated Regions |
| title_sort | robust alignment of multi exposed images with saturated regions |
| topic | Multi-exposed images image alignment Hamming distance local binary pattern normalization |
| url | https://ieeexplore.ieee.org/document/9286428/ |
| work_keys_str_mv | AT junjiang robustalignmentofmultiexposedimageswithsaturatedregions AT zhengguoli robustalignmentofmultiexposedimageswithsaturatedregions AT shouliexie robustalignmentofmultiexposedimageswithsaturatedregions AT shiqianwu robustalignmentofmultiexposedimageswithsaturatedregions AT liangcaizeng robustalignmentofmultiexposedimageswithsaturatedregions |