计算机科学
计算机视觉
热的
图像(数学)
人工智能
物理
气象学
作者
Rafael E. Rivadeneira,Ángel D. Sappa,Boris X. Vintimilla,Jin Kim,Dogun Kim,Zhihao Li,Yingchun Jian,Bo Yan,Leilei Cao,Fengliang Qi,Hongbin Wang,Rongyuan Wu,Lingchen Sun,Yongqiang Zhao,Lin Li,Kai Wang,Yicheng Wang,Xuanming Zhang,Huiyuan Wei,Chonghua Lv
标识
DOI:10.1109/cvprw56347.2022.00057
摘要
This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image dataset as the first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was kept aside for testing. The evaluation tasks were to measure the PSNR and SSIM between the SR image and the ground truth (HR thermal noisy image downsampled by four), and also to measure the PSNR and SSIM between the SR image and the semi-registered HR image (acquired with another camera). The results outperformed those from last year's challenge, improving both evaluation metrics. This year, almost 100 teams participants registered for the challenge, showing the community's interest in this hot topic.
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