Plug-and-Play Prior Based on Gaussian Mixture Model Learning for Image Restoration in Sensor Network

Plug-and-Play Prior Based on Gaussian Mixture Model Learning for Image Restoration in Sensor Network

In this paper, we propose a method that use the Gaussian mixture model (GMM) as a plug-and-play prior for image restoration in sensor network. The “plug-and-play" concept as an image prior is extended to image restoration and just mentioned in recent years. Particularly, the plug-and...

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Bibliographic Details
Main Authors: Mingzhu Shi, Liang Feng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Plug-and-play
Gaussian mixture model
image restoration
image priors
Online Access:https://ieeexplore.ieee.org/document/8558580/

Internet

https://ieeexplore.ieee.org/document/8558580/

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