3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion
Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity, ensuring the effectiveness and efficiency. The...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9386078/ |
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| author | Bingzhe Wei Xiangchu Feng Weiwei Wang |
| author_facet | Bingzhe Wei Xiangchu Feng Weiwei Wang |
| author_sort | Bingzhe Wei |
| collection | DOAJ |
| description | Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity, ensuring the effectiveness and efficiency. Therefore, we propose a novel multi-focus image fusion algorithm based on multi-scale and multi-directional dictionaries. In the proposed method, source images are decomposed by multi-scale transform(MST) to obtain high/low frequency sub-bands. For the high-frequency part, a direction contrast-based fusion rule is presented. For the low-frequency part, the image patches are divided into strong/weak information patches. The strong information patches are merged with a fusion approach based on directional dictionaries, while the weak information patches are fused using weighted average. Finally, the fused image is obtained by performing the inverse MST. The experimental results show that the proposed approach extracts more important effective information from source images, and the computational efficiency is greatly improved. |
| format | Article |
| id | doaj-art-c59af6d0ee6240e68dfec30c7ce99d87 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-c59af6d0ee6240e68dfec30c7ce99d872025-08-20T02:47:39ZengIEEEIEEE Access2169-35362021-01-019485314854310.1109/ACCESS.2021.306877093860783M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image FusionBingzhe Wei0https://orcid.org/0000-0001-6327-9211Xiangchu Feng1https://orcid.org/0000-0002-3463-2060Weiwei Wang2https://orcid.org/0000-0002-6985-2784School of Mathematics and Statistics, Xidian University, Xi’an, ChinaSchool of Mathematics and Statistics, Xidian University, Xi’an, ChinaSchool of Mathematics and Statistics, Xidian University, Xi’an, ChinaBased on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity, ensuring the effectiveness and efficiency. Therefore, we propose a novel multi-focus image fusion algorithm based on multi-scale and multi-directional dictionaries. In the proposed method, source images are decomposed by multi-scale transform(MST) to obtain high/low frequency sub-bands. For the high-frequency part, a direction contrast-based fusion rule is presented. For the low-frequency part, the image patches are divided into strong/weak information patches. The strong information patches are merged with a fusion approach based on directional dictionaries, while the weak information patches are fused using weighted average. Finally, the fused image is obtained by performing the inverse MST. The experimental results show that the proposed approach extracts more important effective information from source images, and the computational efficiency is greatly improved.https://ieeexplore.ieee.org/document/9386078/Multi-focus image fusionmulti-scale transformdirectionalityfusion rule |
| spellingShingle | Bingzhe Wei Xiangchu Feng Weiwei Wang 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion IEEE Access Multi-focus image fusion multi-scale transform directionality fusion rule |
| title | 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion |
| title_full | 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion |
| title_fullStr | 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion |
| title_full_unstemmed | 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion |
| title_short | 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion |
| title_sort | 3m a multi scale and multi directional method for multi focus image fusion |
| topic | Multi-focus image fusion multi-scale transform directionality fusion rule |
| url | https://ieeexplore.ieee.org/document/9386078/ |
| work_keys_str_mv | AT bingzhewei 3mamultiscaleandmultidirectionalmethodformultifocusimagefusion AT xiangchufeng 3mamultiscaleandmultidirectionalmethodformultifocusimagefusion AT weiweiwang 3mamultiscaleandmultidirectionalmethodformultifocusimagefusion |