Multi-Scale Feature Fusion with Attention Mechanism Based on CGAN Network for Infrared Image Colorization

Multi-Scale Feature Fusion with Attention Mechanism Based on CGAN Network for Infrared Image Colorization

This paper proposes a colorization algorithm for infrared images based on a Conditional Generative Adversarial Network (CGAN) with multi-scale feature fusion and attention mechanisms, aiming to address issues such as color leakage and unclear semantics in existing infrared image coloring methods. Fi...

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Bibliographic Details
Main Authors: Yibo Ai, Xiaoxi Liu, Haoyang Zhai, Jie Li, Shuangli Liu, Huilong An, Weidong Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
attention mechanism module
Generative Adversarial Network (GAN)
image colorization
infrared images
multi-scale feature fusion
Online Access:https://www.mdpi.com/2076-3417/13/8/4686

Internet

https://www.mdpi.com/2076-3417/13/8/4686

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