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 ...

Scientists have developed a revolutionary new method for capturing high-resolution images of fluctuations in materials at the nanoscale using powerful X-ray sources. The technique, which they call ...

Even those who maintain that super-resolution microscopy is a powerful tool of biological discovery have admitted that it may have a bit of an image problem. For example, in a recent review, several ...

Researchers have shown that consumer-grade 3D printers and low-cost materials can be used to produce multi-element optical components that enable super-resolution imaging, with each lens costing less ...