Image super-resolution reconstructing

A device, comprising:

• a processing unit;
• and
• a memory coupled to the processing unit and comprising instructions stored thereon which, when executed by the processing unit, cause the device to perform acts comprising:
• obtaining an input image of a first resolution;
• training an invertible neural network with the input image, the invertible neural network being configured to generate an intermediate image of a second resolution that is lower than the first resolution, wherein training an invertible neural network with the input image includes determining a plurality of target functions based on the input image and the intermediate image;
• and
• generating, using an inverse network of the trained invertible neural network, an output image of a third resolution based on the input image and the intermediate image, the third resolution being greater than the first resolution.

A computer program product being tangibly stored in a computer storage medium and comprising machine-executable instructions which, when executed by a device, cause the device to perform acts comprising:

• obtaining an input image of a first resolution;
• training an invertible neural network with the input image, the invertible neural network being configured to generate an intermediate image of a second resolution and first high-frequency information based on the input image, the second resolution being lower than the first resolution;
• and
• generating, using an inverse network of the trained invertible neural network, an output image of a third resolution based on second high-frequency information conforming to a predetermined distribution and the input image, the third resolution being greater than the first resolution.