PT Journal
AU Patricia Suarez
   Dario Carpio
   Angel Sappa
TI Enhancement of guided thermal image super-resolution approaches
SO Neurocomputing
JI NEUCOM
PY 2024
BP 1
EP 17
VL 573
IS 127197
AB 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.
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