Adaptive image fusion technology based on ICA (independent component analysis)

Wei Lu; Qi Sun; Aishu Li

doi:10.1117/12.3050044

8 November 2024 Adaptive image fusion technology based on ICA (independent component analysis)

Wei Lu, Qi Sun, Aishu Li

Author Affiliations +

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134163T (2024) https://doi.org/10.1117/12.3050044
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

This paper presents a study of adaptive fusion algorithms which based on Independent Component Correlation Algorithm (ICA). The algorithm process can be divided into two processes which are training and the integration. In the training phase, the two-dimensional image information is converted to one-dimensional information; one-dimensional vector will be decomposition by adopting ICA. Obtain separation matrix, the integration phase, based on adaptive algorithm, the separation factor obtained in the training process, to give a new integration coefficient by using the new fusion coefficient matrix to restore the image fusion, the resulting image will be clearer.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Lu, Qi Sun, and Aishu Li "Adaptive image fusion technology based on ICA (independent component analysis)", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134163T (8 November 2024); https://doi.org/10.1117/12.3050044

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