CONVERSION OF RGB IMAGES TO IR: PROBLEMS AND PROSPECTS
DOI:
https://doi.org/10.30890/2567-5273.2025-39-02-048Keywords:
image translation, infrared image, GAN, CycleGAN, deep learning, SSIM, FID, pseudo-infrared.Abstract
The paper addresses the task of transforming visible (RGB) images into infrared (IR) images using computer vision techniques. The relevance of this problem is substantiated: IR cameras are costly and have limitations, so the ability to generate pseudo-IRReferences
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Ronneberger, O., Fischer, P. and Brox, T. (2015) ‘U-Net: Convolutional networks for biomedical image segmentation’, Lecture Notes in Computer Science, 9351, pp. 234–241. doi:10.1007/978-3-319-24574-4_28.
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Zhu, J.Y., Park, T., Isola, P. and Efros, A.A. (2017) ‘Unpaired image-to-image translation using cycle-consistent adversarial networks’, Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 2242–2251. doi:10.1109/ICCV.2017.244.
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