Super-resolution based on saliency

摘要

Systems and techniques for image processing are described. For example, the imaging system can acquire an input image having a first region and a second region, both at a first resolution. The imaging system may determine that the first region is more salient than the second region (eg, based on a saliency map that maps saliency values to pixels of the input image). The imaging system may use the first process (e.g., using a trained network of a machine learning super-resolution system) to modify the first region to increase the first resolution to a second resolution. The imaging system may use a second process to modify the second region (eg, based on an interpolation process) to increase the first resolution of the second region to a second resolution. The imaging system may generate and/or output an output image including the modified first region and the modified second region.