Convolutional Sparse Coding Using Wavelets for Single Image Super-Resolution

Convolutional Sparse Coding Using Wavelets for Single Image Super-Resolution

In this paper, we propose the convolutional sparse coding based model in the wavelet domain for the task of single image super-resolution (SISR). The conventional sparse coding based approaches work on overlapping image patches and use the dictionary atoms to sparse code an image patch. Further, at...

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Bibliographic Details
Main Authors: Awais Ahmed, She Kun, Raheel Ahmed Memon, Junaid Ahmed, Getnet Tefera
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Super-resolution
coupled filters learning
mapping learning
sparse coding
Online Access:https://ieeexplore.ieee.org/document/8807113/

Internet

https://ieeexplore.ieee.org/document/8807113/

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