DETAIL PRESERVING MEDIAN BASED FILTER FOR IMPULSE NOISE REMOVAL IN DIGITAL IMAGES

摘要：

In this paper,a new nonlinear filter called detail preserving median based filter for removing salt and pepper noise and random valued impulse noise with edge and detail preservation is presented.The proposed method first detects the impulse pixel based on threshold values and then the corrupted pixels are replaced by the median value of the uncorrupted pixels in the filtering window.Since the proposed algorithm takes a decision whether the pixel under test is corrupted or not,it works well upto a noise density as high as 70％ with much lower computation time compared to the other standard techniques.Experimental results clearly indicate that the proposed method outperforms many of the existing methods such as standard median filter,weighted median filter,center weighted median filter,recursive weighted median filter,progressive switching median filter,and recently proposed decision based algorithm in terms of visual quality and quantitative measures.

作者: V.R.Vijaykumar D.Ebenezer P.T.Vanathi

作者单位: Department of ECE,PSG College of Technology,Coimbatore,India Dept.of ECE,Srikrishna college of Engg.and Technology,Coimbatore,India

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）