Motion deblurring via multiscale residual convolutional dictionary learning

Sparsity-based methods have been extensively used for restoration of blurry images. To overcome the limitation found in patch-based sparse representation models that the shift-invariant properties of images are often ignored, convolutional sparse coding (CSC) models have been developed. However, exi...

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Veröffentlicht in:	Digital signal processing Jg. 165; S. 105337
Hauptverfasser:	Zhang, Yi, Chandler, Damon M., Farias, Mylène C.Q.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.10.2025
Schlagworte:	Convolutional sparse coding Learned iterative shrinkage/thresholding Motion deblurring Residual learning Residual learning Learned iterative shrinkage/thresholding Convolutional sparse coding Motion deblurring
ISSN:	1051-2004
Online-Zugang:	Volltext
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