Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The method can include: aggregating a user image selection and a context attribute associated therewith into a preference training database for a user, wherein the user image selection represents a record of the user's preference over at least one of adjusted versions of a base image when the adjusted versions are separately processed by different visual effects; determining a visual effect preference associated based on machine learning or statistical analysis of user image selections in the preference training database, the user image selections representing experimental records corresponding to the visual effects; updating a photo preference profile with the visual effect preference; and providing the photo preference profile to an image processor to adjust subsequently captured photographs provided to the image processor.