Learning Shared and Cluster-Specific Dictionaries for Single Image Super-Resolution

Learning Shared and Cluster-Specific Dictionaries for Single Image Super-Resolution

Recently, many multi-dictionary-based sparse representation methods have been proposed for single-image super-resolution (SISR) by learning a sub-dictionary for each specific type of visual content (i.e., a cluster). Although promising reconstruction results have been achieved for certain scenarios,...

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Bibliographic Details
Main Authors: Tingting Yao, Zhiyong Wang, Yu Luo, Yue Liang, Qing Hu, David Dagan Feng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dictionary learning
sparse representation
anchored neighborhood regression
single image super-resolution
Online Access:https://ieeexplore.ieee.org/document/8766085/

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