Because the algorithm can be «trained» to recognize what an ideal, uncorrupted image should look like, it is able to address multiple
flaws in a single image.
Not exact matches
«New algorithm repairs corrupted digital
images in one step: Technique uses the power of artificial neural networks to address several types of
flaws and degradations
in a
single image at once.»