Image Sharpening using Scene-Adapted Priors
نویسندگان
چکیده
With general purpose denoisers approaching performance limits, we turn our attention to methods targeted to specific tasks or image classes. Using the recent plug-and-play (PnP) framework, we plug a denoiser based on Gaussian mixture models (GMM) into the iterations of an alternating direction method of multipliers (ADMM), to tackle a data fusion problem known as image sharpening. Results show that our method performs competitively with other state-of-the-art algorithms.
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