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Author (up) Patricia Suarez; Dario Carpio; Angel Sappa edit  url
openurl 
  Title Enhancement of guided thermal image super-resolution approaches Type Journal Article
  Year 2024 Publication Neurocomputing Abbreviated Journal NEUCOM  
  Volume 573 Issue 127197 Pages 1-17  
  Keywords  
  Abstract 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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  Notes MSIAU Approved no  
  Call Number Admin @ si @ SCS2024 Serial 3998  
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