Complex color space conversion using convolutional neural networks

A device comprising:

• a main memory;
• a cache memory;
• a convolutional neural network configured to convert a plurality of pixels from a source color space to a destination color space,
• wherein the convolutional neural network utilizes a single International Color Consortium (ICC) profile without an intermediate conversion, and
• wherein the convolutional neural network is organized into execution-separable layers;
• and
• logic to load a first layer of the convolutional neural network from the main memory to the cache memory, process the pixels through the first layer, evict the first layer from the cache memory, load a second layer of the convolutional neural network from the main memory to the cache memory, and process the pixels through the second layer.

A device comprising:

• at least one processor;
• a main memory;
• a cache memory;
• a convolutional neural network configured to convert a plurality of pixels from a first color space to a second color space, the convolutional neural network organized into execution-separable layers;
• and
• logic to load a first layer of the convolutional neural network from the main memory to the cache memory, process by the at least one processor, in the cache memory, the pixels through the first layer, evict the first layer from the cache memory, load a second layer of the convolutional neural network from the main memory to the cache memory, and process by the at least one processor, in the cache memory, the pixels through the second layer.