Establishing clusters of user preferences for image enhancement

A system comprising:

• an enhancement matrix comprising sets of image enhancements for a plurality of images;
• and
• an image processor that is configured to:
• receive a first image from a user,
• receive a group membership for the user,
• determine a match between a type of said first image and another type of a second image, said second image being in said enhancement matrix,
• determine an individual set of image enhancements from said enhancement matrix corresponding to said type and said group membership, and
• apply said individual set of image enhancements to said first image.

A method performed on a computer processor, said method comprising:

• receiving an enhancement matrix comprising a set of image enhancements for a plurality of images and groups of users;
• receiving a test image to classify, said test image being associated with a user;
• determining a user classification for said user, wherein the user classification relates the user to an individual group of the groups of users represented in the enhancement matrix;
• analyzing said test image to determine a set of image characteristics and comparing said set of image characteristics to other image characteristics for said plurality of images in said enhancement matrix;
• looking up said user classification and said set of image characteristics in said enhancement matrix to determine a set of enhancements for said test image;
• and
• applying said set of enhancements to said test image.