System and method for enhancing text in images based on super-resolution

A computer-implemented method, comprising:

• obtaining a high resolution image;
• generating a low resolution image based on the high resolution image;
• generating a super resolution image based on the low resolution image, using a super resolution model with a set of parameters;
• based on the high resolution image and the super resolution image, computing a total loss function based on the set of parameters and at least one of:
• a detection loss function, a recognition loss function, and a gradient loss function;
• generating a trained super resolution model with an optimized set of the parameters that minimizes the total loss function;
• and
• enhancing text in at least one image using the trained super resolution model.

A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause a device to perform operations comprising:

• obtaining a high resolution image;
• generating a low resolution image based on the high resolution image;
• generating a super resolution image based on the low resolution image, using a super resolution model with a set of parameters;
• based on the high resolution image and the super resolution image, computing a total loss function based on the set of parameters and at least one of:
• a detection loss function, a recognition loss function, and a gradient loss function;
• generating a trained super resolution model with an optimized set of the parameters that minimizes the total loss function;
• and
• enhancing text in at least one image using the trained super resolution model.