Algorithm of Spatio-Temporal Combining Video Denoising Based on Structural Similarity

Hong Wei Di; Cheng Cheng Huang; Hui Gao

doi:10.4028/www.scientific.net/AMM.333-335.845

Paper Titles

Road Extraction from High-Resolution Remote Sensing Images Based on Synthetical Characteristics
p.828

An Variable Coefficient Images Denoising Method
p.832

Targeting on Enhancing 2D Aerial Image Information by Technology of Unsharp Masking
p.836

An Effective X-Ray Image Segmentation Method for the Pharmaceutical Industry via Surface Fitting
p.839

Algorithm of Spatio-Temporal Combining Video Denoising Based on Structural Similarity
p.845

A Real-Time Dynamic Gesture Recognition System
p.849

Study of Digital Character Recognition Based on BP Neural Networks
p.856

Extraction of the Geometric Features from the Vacuum Switching Arc Images
p.860

A Realization of Face Detection System Based on ARM Linux
p.864

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Algorithm of Spatio-Temporal Combining Video...

Algorithm of Spatio-Temporal Combining Video Denoising Based on Structural Similarity

Abstract:

An algorithm of spatio-temporal combining video denoising based on structural similarity is proposed for the video surveillance system. By motion detection to multi-frame images with block structural similarity, this algorithm can adaptively distinguish the still regions and motion regions of video image. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm can improve the image quality and greatly reuduce the computation time.

You might also be interested in these eBooks

Measurement Technology and Engineering Researches in Industry

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

845-848

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.845

Citation:

Cite this paper

Online since:

July 2013

Authors:

Hong Wei Di, Cheng Cheng Huang, Hui Gao

Keywords:

Motion Detection, Spatio-Temporal Combination, Structural Similarity, Video Denoising

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Liwei Guo,Oscar C Au,Mengyao Ma,et al.Journal of Signal Processing System,2010,60(3): 273-290.

Google Scholar

[2] Hou Ying-kun,Zhou Chun-xia,Yang De-yun,et al.IEEE Trans on Image Processing, 2011,20(1): 268-270.

Google Scholar

[3] Wenjie Zhang.Electronic Engineer, 2007,33(12):37-39(in Chinese).

Google Scholar

[4] Zhou Wang，Bovik A C,Sheikh H R, et al. IEEE Trans on Image Processing, 2004,13(4): 600-612.

Google Scholar

[5] Buades A,Coll B,Morel J M.A non-local algorithm for image denoising[A].IEEE Proceeding of Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, 2:60-65.

DOI: 10.1109/cvpr.2005.38

Google Scholar

[6] Hui Gao,Yongchang Xie,Hongwei Di.Microcomputer & its Applications, 2011, 30(16): 36-38(in Chinese).

Google Scholar