Learning-based video superresolution reconstruction using spatiotemporal nonlocal similarity

DOI10.1155/2015/687074zbMath1395.94046OpenAlexW1867868138WikidataQ59118929 ScholiaQ59118929MaRDI QIDQ1666337

Junping Du, Meiyu Liang, Ling-Hui Li

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/687074

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• FSIM

Cites Work

• Generalizing the Nonlocal-Means to Super-Resolution Reconstruction
• Image Super-Resolution Via Sparse Representation
• FSIM: A Feature Similarity Index for Image Quality Assessment
• Zernike-Moment-Based Image Super Resolution
• Spatially Adaptive Block-Based Super-Resolution
• Corrections to “Real-Time Artifact Free Image Upscaling” [Oct 11 2760-2768]
• Image Super-Resolution With Sparse Neighbor Embedding
• Coupled Dictionary Training for Image Super-Resolution
• Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling

This page was built for publication: Learning-based video superresolution reconstruction using spatiotemporal nonlocal similarity