Multi-modal Image Fusion - Techniques and Applications: Exploring multi-modal image fusion techniques for combining information from different imaging modalities for enhanced analysis

Authors

  • Dr. Olga Petrova Professor of Information Technology, Mälardalen University, Sweden Author

Keywords:

Multi-modal, Applications

Abstract

Multi-modal image fusion is a vital process in modern imaging, aiming to combine complementary information from different imaging modalities to enhance the analysis and interpretation of images. This paper presents an overview of various techniques and applications of multi-modal image fusion, highlighting its importance in medical imaging, remote sensing, and other fields. We discuss the challenges and recent advances in multi-modal image fusion, including deep learning-based approaches, and provide insights into future research directions.

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Published

03-03-2022

How to Cite

[1]
Dr. Olga Petrova, “Multi-modal Image Fusion - Techniques and Applications: Exploring multi-modal image fusion techniques for combining information from different imaging modalities for enhanced analysis”, Distrib Learn Broad Appl Sci Res, vol. 8, pp. 70–80, Mar. 2022, Accessed: Nov. 21, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/59

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