The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
A survey on region based image fusion methods
Abstract
Abstract Image fusion has been emerging as an important area of research. It has attracted many applications such as surveillance, photography, medical diagnosis, etc. Image fusion techniques are developed at three levels: pixel, feature and decision. Region based image fusion is one of the methods of feature level. It possesses certain advantages – less sensitive to noise, more robust and avoids misregistration. This paper presents a review of region based fusion approaches. A first hand classification of region based fusion methods is carried out. A comprehensive list of objective fusion evaluation metrics is highlighted to compare the existing methods. A detailed analysis is carried out and results are presented in tabular form. This may attract researchers to further explore the research in this direction.
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Image fusion meets deep learning: A survey and perspective
Zhang, H., Xu, H., Tian, X., Jiang, J., & Ma, J. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.06.008 · Cited by 834
Azam, M. A., Khan, K. B., Salahuddin, S., Rehman, E., Khan, S. A., Khan, M. A., Kadry, S., & Gandomi, A. H. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105253 · Cited by 449
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Zhao, Z., Bai, H., Zhu, Y., Zhang, J., Xu, S., Zhang, Y., Zhang, K., Meng, D., Timofte, R., & Van Gool, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00742 · Cited by 431
Image Fusion Techniques: A Survey
Kaur, H., Koundal, D., & Kadyan, V. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09540-7 · Cited by 361
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Metadata
- Authors
- Meher, B., Agrawal, S., Panda, R., & Abraham, A.
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 48
- Pages
- 119-132
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W2914139557
- Cited by
- 283
- References
- 72
- FWCI
- 18.74
- Type
- journal article
- Language
- en
- Open access
- closed
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