Fast low-light image visibility enhancement

An apparatus comprising:

• at least one imaging sensor;
• and
• at least one processing device configured to:
• obtain a first image frame of a scene captured using the at least one imaging sensor;
• determine a low-light image score indicative of a brightness of the first image frame;
• and
• in response to the low-light image score indicating that the brightness of the first image frame is below a threshold, apply a low-light visibility enhancement model to the first image frame in order to generate a second image frame having a higher brightness than the first image frame;
• wherein the low-light visibility enhancement model is trained using at least one dataset that includes image frames obtained using the at least one imaging sensor.

A method comprising:

• obtaining, using at least one imaging sensor of an electronic device, image frames having different exposures;
• generating, using at least one processing device of the electronic device, at least one training dataset using the image frames;
• and
• training at least one low-light visibility enhancement model using the at least one dataset, each low-light visibility enhancement model trained to increase brightness in captured image frames;
• wherein training the at least one low-light visibility enhancement model comprises, for each of the at least one imaging sensor:
• identifying parameters of a response model and a brightness transform model based on at least part of the at least one dataset;
• and
• generating an exposure ratio map for adjusting image contrast and visibility, the low-light visibility enhancement model based on the response model, the brightness transform model, and the exposure ratio map.