Techniques for Controlled Generation of Training Data for Machine Learning Enabled Image Enhancement

A system for training a machine learning model for enhancing images, the system comprising:

• a display for displaying a video frame of a video;
• a digital imaging device configured to:
• capture a target image of the displayed video frame, wherein the target image represents a target output of the machine learning model;
• and
• capture an input image of the displayed video frame, wherein the input image corresponds to the target image and represents an input to the machine learning model;
• and
• a computing device comprising at least one hardware processor and at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform:
• accessing the target image and the input image;
• and
• training the machine learning model using the target image and the input image corresponding to the target image to obtain a trained machine learning model.

At least one computer readable storage medium storing processor-executable instructions that, when executed by at least one processor, cause the at least one processor to perform:

• accessing a target image of a displayed video frame, wherein the target image represents a target output of a machine learning model;
• accessing an input image of the displayed video frame, wherein the input image corresponds to the target image and represents an input to the machine learning model;
• and
• training the machine learning model using the target image and the input image corresponding to the target image to obtain a trained machine learning model.