Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100x Speed-Up

Shibin Parameswaran; Charles-Alban Deledalle; Loïc Denis; Truong Nguyen

doi:10.1109/TIP.2018.2866691

Journal Articles IEEE Transactions on Image Processing Year : 2019

Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100x Speed-Up

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Shibin Parameswaran

Function : Author

University of California [San Diego]

Charles-Alban Deledalle

Function : Author

Institut de Mathématiques de Bordeaux

Loïc Denis

Function : Author
PersonId : 551
IdHAL : loicdenis
ORCID : 0000-0001-9216-8318
IdRef : 117203386

Laboratoire Hubert Curien

CV

Truong Nguyen

Function : Author

University of California [San Diego]

Domains

Signal and Image processing

Loïc Denis : Connect in order to contact the contributor

https://hal-ujm.archives-ouvertes.fr/ujm-02116234

Submitted on : Tuesday, April 30, 2019-5:54:15 PM

Last modification on : Friday, March 24, 2023-2:53:10 PM

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ujm-02116234 , version 1 (30-04-2019)

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HAL Id : ujm-02116234 , version 1
ARXIV : 1710.08124
DOI : 10.1109/TIP.2018.2866691

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Shibin Parameswaran, Charles-Alban Deledalle, Loïc Denis, Truong Nguyen. Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100x Speed-Up. IEEE Transactions on Image Processing, 2019, 28 (2), pp.687-698. ⟨10.1109/TIP.2018.2866691⟩. ⟨ujm-02116234⟩

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Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100x Speed-Up

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