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  • 标题:Image Denoising Using New Adaptive Based Median Filter
  • 本地全文:下载
  • 作者:Suman Shrestha
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:1
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Noise is a major issue while transferring images through all kinds of electronic communication. One of themost common noise in electronic communication is an impulse noise which is caused by unstable voltage.In this paper, the comparison of known image denoising techniques is discussed and a new technique usingthe decision based approach has been used for the removal of impulse noise. All these methods canprimarily preserve image details while suppressing impulsive noise. The principle of these techniques is atfirst introduced and then analysed with various simulation results using MATLAB. Most of the previouslyknown techniques are applicable for the denoising of images corrupted with less noise density. Here a newdecision based technique has been presented which shows better performances than those already beingused. The comparisons are made based on visual appreciation and further quantitatively by Mean Squareerror (MSE) and Peak Signal to Noise Ratio (PSNR) of different filtered images..
  • 关键词:Impulse Noise; Nonlinear filter; Adaptive Filters; Decision Based Filters
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