Thermal Image Super-Resolution Challenge - PBVS 2020

• Main Authors: Rivadeneira, Rafael E., Sappa, Angel D., Vintimilla, Boris X., Guo, Lin, Hou, Jiankun, Mehri, Armin, Ardakani, Parichehr Behjati, Patel, Heena, Chudasama, Vishal, Prajapati, Kalpesh, Upla, Kishor P., Ramachandra, Raghavendra, Raja, Kiran, Busch, Christoph, Almasri, Feras, Debeir, Olivier, Nathan, Sabari, Kansal, Priya, Gutierrez, Nolan, Mojra, Bardia, Beksi, William J.
• Format: Conference Proceeding
• Language: English
• Subjects: Agriculture; Cameras; Conferences; Graphics processing units; Image resolution; Testing; Training
• ISSN: 2160-7516
• DOI: 10.1109/CVPRW50498.2020.00056

This paper summarizes the top contributions to the first challenge on thermal image super-resolution (TISR), which was organized as part of the Perception Beyond the Visible Spectrum (PBVS) 2020 workshop. In this challenge, a novel thermal image dataset is considered together with state- of-the-art approaches evaluated under a common framework. The dataset used in the challenge consists of 1021 thermal images, obtained from three distinct thermal cameras at different resolutions (low-resolution, mid-resolution, and high-resolution), resulting in a total of 3063 thermal images. From each resolution, 951 images are used for training and 50 for testing while the 20 remaining images are used for two proposed evaluations. The first evaluation consists of downsampling the low-resolution, mid-resolution, and high-resolution thermal images by ×2, ×3 and ×4 respectively, and comparing their super-resolution results with the corresponding ground truth images. The second evaluation is comprised of obtaining the ×2 super-resolution from a given mid-resolution thermal image and comparing it with the corresponding semi-registered high- resolution thermal image. Out of 51 registered participants, 6 teams reached the final validation phase.