This publication describes techniques for image deblurring according to a facially recognized locations within the image. An algorithm may use facial detection and recognition to selectively sharpen aspects of faces within an image and the surrounding area associated with the facial detection. In one or more aspects, the selectivity of sharpening improves the computational load and other aspects of image provision to improve overall computer function, power consumption, and user experience. Individual faces within the image may be cropped or thumbnailed, providing portions of the image that include the faces. Counterpart images associated with the individual faces may be found within a database having a repository of sharp features associated with the counterpart images. As such, the features may be integrated with the blurred faces of the original image to sharpen an image output.
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Hong, Wei; Wei, Li; Jia, Xuhui; Renn, Marius; and Zhu, Yukun, "Image Deblurring According to Facially Recognized Locations Within the Image", Technical Disclosure Commons, (March 26, 2021)