Blurred Image Restoration at Low Resolution

DOI

10.2991/mmsa-18.2018.85How to use a DOI?

Keywords

image degradation; image registration; image interpolation; image restoration; image denoising

Abstract

This paper through the use of super- resolution image reconstruction technology, it is using multiple low resolution images of the same scene, the relative movement between the information they are integrated into a single frame in the high resolution image, and the initial high-resolution images of the recovery and denoising can get a relatively clear high resolution image, and the frame contains a single frame can't reflect the details of the low resolution pictures.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lidong Huang
AU  - Xuewen Tan
AU  - Xiaozhou Chen
AU  - Yanfang Zhao
PY  - 2018/03
DA  - 2018/03
TI  - Blurred Image Restoration at Low Resolution
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 382
EP  - 386
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.85
DO  - 10.2991/mmsa-18.2018.85
ID  - Huang2018/03
ER  -