Using luminance distributions to detect best areas of an image for prediction of noise levels

Abstract

An image processing apparatus and method are provided whereby one or more memories stores instructions which, when executed by one or more processors configures the one or more processors to perform operations including obtaining image data stored in memory of a processing device, defining one or more regions of the image to be processed based on luminance values of the region, providing, as input data, the one or more defined regions of the image to an classifier that has been trained to use image data to estimate noise in an image to output a prediction that the input data is in a first class or a second class, calculating an average by predicted class, and labeling the obtained image as the first class or second class based on the calculated average.

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