Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution

Salient edge selection and time-varying regularization are two crucial techniques to guarantee the success of maximum a posteriori (MAP)-based blind deconvolution. However, the existing approaches usually rely on carefully designed regularizers and handcrafted parameter tuning to obtain satisfactory...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 4 vom: 25. Apr., Seite 1751-64
1. Verfasser:	Wangmeng Zuo (VerfasserIn)
Weitere Verfasser:	Dongwei Ren, Zhang, David, Shuhang Gu, Lei Zhang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2016
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't