Single-Image Super Resolution Reconstruction with Pepper and Salt Noise

Feng Qing Qin; Li Hong Zhu; Li Lan Cao; Wa Nan Yang

doi:10.4028/www.scientific.net/AMM.427-429.1817

Paper Titles

Fault Diagnosis Method for Network Control Systems Applying SVM Disturbance Compensation
p.1799

Finding the Pure-Strategy Nash Equilibrium Using a Fixed-Point Algorithm
p.1803

A Novel Image Fusion Approach for Underwater Blurred Images
p.1807

A New High-Dynamic-Range Compression and Detail Enhancement Algorithm for Infrared Images
p.1813

Single-Image Super Resolution Reconstruction with Pepper and Salt Noise
p.1817

An New Method for Multi-Object Tracking Using Energy Minimization-Based Data Association
p.1822

2-D DOA Estimation of Coherent Wide-Band Sources for Arbitrary Array Plane Geometry
p.1826

Dynamic Range Extend on Finger Vein Image Based on Infrared Multi-Light-Intensity Vascular Imaging
p.1832

Local Statistic Enhancement of Digital Image Based on Genetic Algorithm
p.1836

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Single-Image Super Resolution Reconstruction with...

Single-Image Super Resolution Reconstruction with Pepper and Salt Noise

Abstract:

In order to improve the resolution of single image with Pepper and Salt noise, a framework is proposed. In the low resolution imaging model, the Gaussian blur, down-sampling, as well as Pepper and Salt noise are considered. For the low resolution image, the Pepper and Salt noise is reduced through median filtering method. Super resolution reconstruction is performed on the de-noised low resolution image by iterative back projection algorithm. Experimental results show that the Pepper and Salt noise are removed effectively and the peak signal to noise ratio (PSNR) of the super resolution reconstructed image is improved.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1817-1821

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1817

Citation:

Cite this paper

Online since:

September 2013

Authors:

Feng Qing Qin*, Li Hong Zhu, Li Lan Cao, Wa Nan Yang

Keywords:

Iterative Back Projection, Median Filter, Pepper Noise, Salt Noise, Single-Image, Super Resolution

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] L. Zhang, Q.Q. Yuan, H.F. Shen and P.X. Li: Multifrmae image super-resolution adapted with local spatial information, Vol. 28, no. 3 (2011), pp.381-390.

Google Scholar

[2] A. Giannoula: Classification-Based Adaptive Filtering for Multiframe Blind Image Restoration. IEEE Transactions on Image Processing, Vol. 20 (2011), pp.382-390.

DOI: 10.1109/tip.2010.2064329

Google Scholar

[3] F.Q. Qin, X.H. He, W.L. Chen, X.M. Yang and W. Wu: Video super-resolution reconstruction based on sub-pixel registration and iterative back projection. Journal of Electronic Imaging, Vol. 18, no. 1 (2009), pp.1-11.

DOI: 10.1142/9789812799524_0071

Google Scholar

[4] K.I. Kim and Y. Kwon: Single-image super-resolution using sparse regression and natural image prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, no. 6 (2010), pp.1127-1133.

DOI: 10.1109/tpami.2010.25

Google Scholar

[5] S.Y. Yang, M. Wang, Y.G. Chen and Y.X. Sun: Single-image super resolution reconstruction via learned geometric dictionaries and clustered sparse coding. IEEE Transactions on Image Processing, Vol. 21, no. 9 (2012), pp.4016-4028.

DOI: 10.1109/tip.2012.2201491

Google Scholar

[6] D. Chris: Single image super-resolution using self-examples and texture synthesis. SIViP, Vol. 5 (2011), pp.343-352.

DOI: 10.1007/s11760-010-0205-5

Google Scholar