Noise robust single image super-resolution using a multiscale image pyramid
Authors:
- Jing HuJHJing Hu
- Xi WuXWXi Wu
- Jiliu ZhouJZJiliu Zhou
- 1 July 2018
- journal article
- research article
- Published by Elsevier in Signal Processing
- Vol. 148, 157-171
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61602065)
- Key Technology Research and Development (2017RZ0013)
- Education Department of Sichuan Province (17ZA0062, J201608)
- Chengdu University of Information Technology (KYTZ201610)
- Chengdu University of Information Technology
This publication has 20 references indexed in Scilit:
- Superresolution from a Single Noisy Image by the Median Filter TransformSIAM Journal on Imaging Sciences, 2016
- Super-Interpolation With Edge-Orientation-Based Mapping Kernels for Low Complex UpscalingIEEE Transactions on Image Processing, 2015
- Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-ResolutionIEEE Transactions on Neural Networks and Learning Systems, 2015
- Image Super-Resolution Using Deep Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
- Single-Image Super-Resolution via Linear Mapping of Interpolated Self-ExamplesIEEE Transactions on Image Processing, 2014
- Single-image superresolution based on local regression and nonlocal self-similarityJournal of Electronic Imaging, 2014
- Sparse Representation Based Image Interpolation With Nonlocal Autoregressive ModelingIEEE Transactions on Image Processing, 2013
- Image and video upscaling from local self-examplesACM Transactions on Graphics, 2011
- Image quality assessment: from error visibility to structural similarityIEEE Transactions on Image Processing, 2004
- Example-based super-resolutionIEEE Computer Graphics and Applications, 2002