Multiscale self-similarity and sparse representation based single image super-resolution

Chao Xie; Weili Zeng; Shengqin Jiang; Xiaobo Lu

doi:10.1016/j.neucom.2017.03.073

ScienceGate Book Chapters

JOURNAL ARTICLE

Multiscale self-similarity and sparse representation based single image super-resolution

Chao Xie Weili Zeng Shengqin Jiang Xiaobo Lu

Year: 2017 Journal: Neurocomputing Vol: 260 Pages: 92-103 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2017.03.073

Get Full-Text PDF Get Analytical Report

Keywords:

Sparse approximation Self-similarity Pattern recognition (psychology) Artificial intelligence Computer science Image (mathematics) Similarity (geometry) Representation (politics) Self representation Resolution (logic) Computer vision Mathematics

Metrics

Cited By

0.76

FWCI (Field Weighted Citation Impact)

Refs

0.75

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Multiscale self-similarity and sparse representation based single image super-resolution

Metrics

Citation History

Topics

Related Documents

Single image super-resolution based on nonlocal similarity and sparse representation

Exploration into Single Image Super-Resolution via Self Similarity by Sparse Representation

Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution

Low-rank sparse representation for single image super-resolution via self-similarity learning

Sparse representation based single image super-resolution with low-rank constraint and nonlocal self-similarity