Fusion of Visible and Infrared Images Using a Reinforcement Learning System Based on Fuzzy Logic and Convolution Optimized with Wild Horse Algorithm

Fusion of Visible and Infrared Images Using a Reinforcement Learning System Based on Fuzzy Logic and Convolution Optimized with Wild Horse Algorithm

Abstract To create a fusion image with more information, complementary data from similar images taken by multiple types of sensors are combined into a single image through the process of infrared and visible image fusion. Existing fusion approaches based on machine learning still struggle with how t...

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Bibliographic Details
Main Authors: Mahvash Zarimeidani, Amir Amirabadi, Nasrin Amiri, Iman Ahanian, Siavash Es’haghi
Format: Article
Language:English
Published: Springer 2025-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Image fusion
Infrared image
Visible image
Hybrid reinforcement learning system
Fuzzy logic and optimized convolution
Wild horse optimization (WHO) algorithm
Online Access:https://doi.org/10.1007/s44196-025-00856-x
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https://doi.org/10.1007/s44196-025-00856-x

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