NIR to LWIR Image Translation for Generating LWIR Image Datasets

Jin Young Choi, Dong-Goo Kang, Minhye Chang, Kye Young Jeong, Byung Cheol Song
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Abstract

This paper proposes a deep learning-based algorithm that converts near-infrared (NIR) images to long-wave infrared (LWIR) images to solve the problem of lack of LWIR datasets. Experimental results qualitatively show excellent translation performance of the proposed method. We hope that this study contributes to various computer vision tasks in the LWIR domain.
近红外到长波红外图像转换,用于生成长波红外图像数据集
本文提出了一种基于深度学习的算法,可将近红外图像转换为长波红外图像,以解决缺乏长波红外数据集的问题。实验结果定性地显示了所提方法出色的转换性能。我们希望这项研究能为长波红外领域的各种计算机视觉任务做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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