“Personal photo enhancement using prior images”




    Personal photo enhancement using prior images


    We describe a framework for improving the quality of personal photos by using a person’s favorite photographs as examples. We use common faces across images to automatically perform both global and face specific corrections. Our system achieves this by using face detection to align faces between “good” and “bad” photos such that properties of the good examples can be used to correct a bad photo. We illustrate the power and generality of our approach by presenting a novel deblurring algorithm, and we show corrections that perform sharpening, super-resolution, in-painting of over and under-exposure regions, and white-balancing.

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