Systems and methods for sensor-independent illuminant determination

A computer-implemented method for determining a sensor-independent result illuminant, comprising:

• receiving a plurality of training images in raw-RGB format;
• generating the learned mapping space by passing a color distribution of each of the plurality of training images to a trained first machine learning model;
• generating a plurality mapped images by applying the learned mapping space to each of the plurality of training images;
• determining the result illuminant by passing a color distribution of each of the plurality of mapped images as input into a second machine learning model;
• and
• outputting the result illuminant.

A system for determining an illuminant for an input image, the system comprising one or more processors and a data storage, the one or more processors in communication with the data storage device and configured to execute:

• an input module to receive the input image in raw-RGB format comprising an input color space;
• a sensor mapping module to generate a learned mapping space by passing a color distribution of each of a plurality of training images received by the input module to a first machine learning model;
• an illuminant determination module to determine a result illuminant by passing a color distribution of each of the plurality of mapped images as input into a second machine learning model, the mapped images generated by applying the learned mapping space to each of the plurality of training images;
• a final illuminant module to determine a final illuminant by applying the result illuminant to the input color space;
• and
• an output module to output the final illuminant.