Microsoft Corporation
SIMULTANEOUSLY CORRECTING IMAGE DEGRADATIONS OF MULTIPLE TYPES IN AN IMAGE OF A FACE

Abstract:

Described herein are technologies related to correcting image degradations in images. An image is received, and values for features that are usable to correct for image degradation associated with blur, noise, and low light conditions are generated by separate encoders based upon the received image. A fusion network learned by way of network architecture search fuses these values, and the fused values are employed to generate an improved image, such that the image degradations associated with blur, noise, and low light conditions are simultaneously corrected.