Image super-resolution techniques aim to reconstruct high-resolution images from their low-resolution counterparts, addressing challenges in both scientific imaging and everyday applications. These ...
Digital images begin with a fixed number of pixels in a two-dimensional grid. AI super resolution uses machine learning (ML) algorithms to infer from an original image ways that more pixels may be ...
Researchers of CIDIS at ESPOL Polytechnic University have developed a new method to enhance thermal image super-resolution by employing synthetic imagery. This novel approach utilizes high-resolution ...
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