Object color management using raster image processors and object detection and semantic segmentation

A method comprising:

• receiving an image for performing object color management on an object having at least one color in the image;
• extracting, by an object detection and semantic segmentation module, the object from the image;
• segmenting, by the object detection and semantic segmentation module, the object into a first part and a second part;
• providing a first part color for the first part and a second part color for the second part based on multiple training images;
• replacing the at least one color of the object in the image with the first part color and the second part color;
• and
• displaying, on an electronic display, the image comprising the object having the first part color and the second part color.

A non-transitory, computer-readable storage medium storing a software filter that when executed by at least one computer processor, causes the at least one computer processor to:

• receive an image for performing object color management on an object having at least one color in the image;
• extract, by an object detection and semantic segmentation module, the object from the image;
• segment, by the object detection and semantic segmentation module, the object into a first part and a second part;
• provide, by the object detection and semantic segmentation module, a first part color for the first part and a second part color for the second part based on multiple training images;
• replace the at least one color of the object in the image with the first part color and the second part color;
• and
• display, on an electronic display, the image comprising the object having the first part color and the second part color.