ulti-image Super Resolution Reconstruction with Pepper and Salt Noise

DOI

10.2991/icmt-13.2013.49How to use a DOI?

Keywords

Multi-image; Super resolution; Pepper and salt noise; Median filter; Iterative back projection.

Abstract

To improve the resolution and reduce the noise in image, a framework of Multi-image super resolution reconstruction with Pepper and Salt noise is proposed. In the low resolution imaging model, the processes of movement, blur, down-sampling and Pepper and Salt noise are considered. Firstly, for the multiple low resolution images, the Pepper and Salt noise in each image is reduced through median filtering method. Then, super resolution reconstruction is carried out on the multiple de-noised low resolution images through iterative back projection algorithm. Experiments show that the visual effect and the peak signal to noise ratio (PSNR) of the super resolution reconstructed image is improved greatly.

Copyright

© 2013, 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  - Qin Fengqing
AU  - Cao Lilan
AU  - Zhu Lihong
AU  - Yang Wanan
PY  - 2013/11
DA  - 2013/11
TI  - ulti-image Super Resolution Reconstruction with Pepper and Salt Noise
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 401
EP  - 407
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.49
DO  - 10.2991/icmt-13.2013.49
ID  - Fengqing2013/11
ER  -