Integrating the missing information estimation into multi-frame super-resolution

DOI10.1007/s00034-015-0114-5zbMath1346.94006OpenAlexW846722852MaRDI QIDQ308471

Hu Liang, Zehua Lyu, Shaohong Fang, Xiaobing Pei, Shengrong Zhao, Chuan-Bo Chen

Publication date: 6 September 2016

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-015-0114-5

zbMATH Keywords

observation modelmissing information estimationsuper-resolution reconstructiontotal variation model

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Schubert functors and Schubert polynomials
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Least-Squares-Based Iterative Multipath Super-Resolution Technique
• A Novel Microwave Imaging Approach Based on Regularization in $L^{p}$ Banach Spaces
• Variational Bayesian Super Resolution
• Spatially Adaptive Block-Based Super-Resolution
• Super-Resolution Without Dense Flow
• Super-Resolution Image Reconstruction Using Nonparametric Bayesian INLA Approximation

This page was built for publication: Integrating the missing information estimation into multi-frame super-resolution