Thermal Image Super-Resolution Challenge - PBVS 2021
Rafael E. Rivadeneira, Ángel D. Sappa, Boris X. Vintimilla, Sabari Nathan, Priya Kansal, Armin Mehri, Parichehr B. Ardakani, Anurag Dalal, Aparna Akula, Darshika Sharma, Shashwat Pandey, Basant Kumar, Jiaxin Yao, Rongyuan Wu, Kai Feng, Ning Li, Yongqiang Zhao, Heena Patel, Vishal Chudasama, Kalpesh Prajapati, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Raghavendra Ramachandra, Christoph Busch, Feras Almasri, Thomas Vandamme, Olivier Debeir, Nolan B. Gutierrez, Quan Nguyen, William J. Beksi
Abstract
This paper presents results from the second Thermal Image Super-Resolution (TISR) challenge organized in the framework of the Perception Beyond the Visible Spectrum (PBVS) 2021 workshop. For this second edition, the same thermal image dataset considered during the first challenge has been used; only mid-resolution (MR) and high-resolution (HR) sets have been considered. The dataset consists of 951 training images and 50 testing images for each resolution. A set of 20 images for each resolution is kept aside for evaluation. The two evaluation methodologies proposed for the first challenge are also considered in this opportunity. The first evaluation task consists of measuring the PSNR and SSIM between the obtained SR image and the corresponding ground truth (i.e., the HR thermal image downsampled by four). The second evaluation also consists of measuring the PSNR and SSIM, but in this case, considers the ×2 SR obtained from the given MR thermal image; this evaluation is performed between the SR image with respect to the semi-registered HR image, which has been acquired with another camera. The results out-performed those from the first challenge, thus showing an improvement in both evaluation metrics.