Lossless image compression using block based prediction and optimized context adaptive entropy coding

A system, comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• dividing an input image into a plurality of blocks, each block of the plurality of blocks being a portion of the input image;
• determining a plurality of residual values using a pixel predictor for each block;
• performing a classification of each feature of a set of features using a machine learning model feature selector trained to receive the input image and classify each feature of the set of features as belonging to a first subset of features or a second subset of features, wherein the set of features is defined by an image compression algorithm;
• generating, by a machine learning context modeler, a residual cluster using the first subset of features and the plurality of residual values, wherein the generated residual cluster clusters one of more residual values of the plurality of residual values that have similar properties;
• and
• entropy coding the residual clusters.

A non-transitory computer-readable medium storing executable instructions, which when executed by a processing device, causes the processing device to perform operations comprising:

• dividing an input image into a plurality of blocks, each block of the plurality of blocks being a portion of the input image;
• determining a plurality of residual values using a pixel predictor for each block;
• performing a classification of each feature of a set of features using a machine learning model feature selector trained to receive the input image and classify each feature of the set of features as belonging to a first subset of features or a second subset of features, wherein the set of features is defined by an image compression algorithm;
• generating, by a machine learning context modeler, a residual cluster using the first subset of features and the plurality of residual values, wherein the generated residual cluster clusters one of more residual values of the plurality of residual values that have similar properties;
• and
• entropy coding the residual clusters.