Rapid reconstruction of high resolution images from lower resolution images

An information handling system comprising:

• one or more processors;
• a memory coupled to at least one of the processors;
• and
• a set of instructions stored in the memory and executed by at least one of the processors to perform actions comprising:
• receiving a plurality of low-resolution images, each of the low-resolution images depicting a physics event;
• interpolating two adjacent low-resolution images to a higher spatial-resolution interpolated image between a first and a second time;
• inputting a previous high-resolution image and the interpolated image to a neural network that includes a first physics constraint that corresponds to the physics event;
• receiving, from the neural network, a new high-resolution image that corresponds to the inputted previous high-resolution image and the interpolated image;
• comparing one of the low-resolution images at a first time with the new high-resolution image;
• and
• evaluating a loss function corresponding to a combination of the compared images and a deviation that is based on the new high-resolution image from a second physics constraint, the evaluated loss function resulting in a loss value.

A computer program product comprising:

• a computer readable storage medium comprising a set of computer instructions that, when executed by a processor, are effective to perform actions comprising:
• receiving a plurality of low-resolution images, each of the low-resolution images depicting a physics event;
• interpolating two adjacent low-resolution images to a higher spatial-resolution interpolated image between a first and a second time;
• inputting a previous high-resolution image and the interpolated image to a neural network that includes a first physics constraint that corresponds to the physics event;
• receiving, from the neural network, a new high-resolution image that corresponds to the inputted previous high-resolution image and the interpolated image;
• comparing one of the low-resolution images at a first time with the new high-resolution image;
• and
• evaluating a loss function corresponding to a combination of the compared images and a deviation that is based on the new high-resolution image from a second physics constraint, the evaluated loss function resulting in a loss value.