A Denoising Mixed Noise Method Based on Median Filter and Lifting Wavelet Technology

Abstract:

In image digitization and transmission, images often suffer contamination inevitably. The noises in images often consist of Gaussian noise and impulse noise. The common denoising algorithms are capable of removing single one of them. In order to remove those two types of noise, a composite algorithm is proposed. Firstly, based on median filter, an impulse noise detection algorithm is used to filter impulse noise. Secondly, adaptive directional lifting wavelet (ADL) and normal lifting wavelet is combined to suppress noise from image signal and protect the texture edge from loss simultaneously. Meanwhile an improved half-soft threshold is used for normal lifting wavelet. At last, simulations show that this technology can suppress Gaussian and impulse noise in image efficiently．

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 1546-1551
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.1546
• Online since: September 2013
• Authors: Zhong Tao Qiao, Feng Qi Gao, Guang Long Wang, Liang Liang Chang
• Keywords: Denoising Threshold, Image, Lifting Wavelet, Median Filter, Mixed Noise

References

[1] Shuliang Sun, Shoujud Wang. Algorithm of improved extremum and median value filter[J]. Journal of Computer Science, 2009, 36(6): 165-166.

[2] Gaochang Zhao, Lei Zhang Fengbo Wu. Application of improved median filtering algorithm to image de-noising [J]. Journal of Applied Optics, 2010, 31(5): 745-747.

[3] Xinping Guan, Li-xing Zhao, Yinggan Tang. Mixed filter for image denoising[J]. Journal of Image and Grap-hic, 2005, 10(3): 332-336.

[4] K. Aiswarya, V. Jayaraj, D. Ebenezer．A new and efficient algorithm for the removal of high density salt and pepper noise in images and videos[C]. 2010 Second International Conference on Computer Modeling and Simulation. San Ya, China. 2010: 409-413.

DOI: 10.1109/iccms.2010.310

[5] Guohong Liu， Wenming Guo. Application of improved arithmetic of median filtering denoising[J]. Journal of Computer Engineering and Applications, 2010, 46（10）.

[6] Yang Song. Optimization and realization of median filtering algorithm in image processing[D]. Journal of BeiJing University of posts and telecommunications, (2011).

[7] Mingxi Li, Han-ping Mao, Yancheng Zhang. Study of the actual image denoising method based on lift-wavelet analysis and median filter technology[J]. Journal of LASER&INFRARED, 2007, 37(10): 1109-1111.

[8] R. Pushpavalli, E. Srinivasan1 and S. Himavathi2 A New Nonlinear Filtering Technique for Image Denoising[c] 2010 International Conference on Advances in Recent Technologies in Communication and Computer.

DOI: 10.1109/artcom.2010.39

[9] Hongjin Ye, Xiangsheng Li. Research on Image Denoising Based on Wavelet Transform[J]. Journal of Mathematics in practice and theory, 2009, 39(23): 135-138.

[10] Changdong Wu, Jianghua, Xiaochu Qiu. A denoising mixed noise method based on multistage median fliter and lifting wavelet technology[J]. Journal of laser journal, 2010, 31(6): 23-24.

[11] Yan-li Hou. An efficient algorithm for mixed noise removal in image [J]. Journal of Henan University (nature science), 2011, 41(2): 197-200.