%0 Journal Article
%T Enhancement of guided thermal image super-resolution approaches
%A Patricia Suarez
%A Dario Carpio
%A Angel Sappa
%J Neurocomputing
%D 2024
%V 573
%N 127197
%F Patricia Suarez2024
%O MSIAU
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3998), last updated on Fri, 02 Feb 2024 11:02:09 +0100
%X Guided image processing techniques are widely used to extract meaningful information from a guiding image and facilitate the enhancement of the guided one. This paper specifically addresses the challenge of guided thermal image super-resolution, where a low-resolution thermal image is enhanced using a high-resolution visible spectrum image. We propose a new strategy that enhances outcomes from current guided super-resolution methods. This is achieved by transforming the initial guiding data into a representation resembling a thermal-like image, which is more closely in sync with the intended output. Experimental results with upscale factors of 8 and 16, demonstrate the outstanding performance of our approach in guided thermal image super-resolution obtained by mapping the original guiding information to a thermal-like image representation.
%U https://doi.org/10.1016/j.neucom.2023.127197
%P 1-17