System, method and computer-accessible medium for quantification of blur in digital images

A system for processing electronic medical images, the system comprising:

• at least one memory storing instructions;
• and
• at least one processor executing the instructions to perform operations comprising:
• generating a plurality of patches from a digital image, each patch of the plurality of patches including a plurality of pixels;
• determining, for each patch of the plurality of patches, values according to one or more sharpness metrics;
• and
• determining, using a patch classifier, a blur score for each patch of the plurality of patches, the blur score of the patch determined using the determined values of the one or more sharpness metrics of the patch, wherein the patch classifier utilizes a neural network to make the determination, and generate a blur map based on the blur score for each patch of the plurality of patches.

A method for detecting a quantity of blur in images, comprising:

• generating, by a blur detector including one or more processors, a plurality of patches from a digital image, each patch of the plurality of patches including a plurality of pixels;
• determining, by the blur detector, for each patch of the plurality of patches, values according to one or more sharpness metrics;
• determining, by the blur detector, a blur score for each patch of the plurality of patches, the blur score of the patch determined using the determined values of the one or more sharpness metrics of the patch, wherein the blur detector utilizes a neural network;
• and
• generating, by the blur detector, a blur map based on the blur score for each patch of the plurality of patches.

A method for detecting a quantity of blur in images, comprising:

• generating, by a blur detector including one or more processors, a plurality of patches from a digital image, each patch of the plurality of patches including a plurality of pixels;
• determining, by the blur detector, for each patch of the plurality of patches, values according to one or more sharpness metrics;
• determining, by the blur detector, a blur score for each patch of the plurality of patches, the blur score of the patch determined using the determined values of the one or more sharpness metrics of the patch, wherein the blur detector utilizes a neural network;
• flagging, by the blur detector, each patch in the group of the plurality of patches having the blur score above a predetermined threshold;
• and
• generating, by the blur detector, a blur map based on the blur score for each patch of the plurality of patches.