1. A method comprising: decomposing data representing an image into subcomponents; extracting predetermined features from each of the subcomponents; providing the features to a trained logistic regressor for estimating a probability associated with digital watermarking for each the subcomponents; generating a probability map relative to the image based on probabilities generated by the trained logistic regressor; and selecting n subcomponents from the probability map, where each of the selected n subcomponents has a probability exceeding a predetermined threshold, where n is a positive integer greater than 1.