1. A method of processing images, comprising: normalizing an image to obtain a normalized image; segmenting the normalized image to obtain a segmented image; forming a prediction bias image using features derived from the image, the normalized image, the segmented image, or a combination thereof, and used as inputs to at least one trained predictor, wherein forming a prediction bias image comprises: obtaining a first set of image features derived from the image, the normalized image, the segmented image, or a combination thereof; applying the first set of image features to a first trained predictor to obtain a first prediction image; obtaining a second set of image features derived at least in part from the first prediction image; applying the second set of image features to a second trained predictor to obtain a second prediction image; and applying smoothing to at least a portion of the second prediction image; and creating an equalized image using the prediction bias image.