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  • 标题:A New Efficient Algorithm for Removal of High Density Salt and Pepper Noise Using Modified DBUF Median Filter for Video Restoration
  • 本地全文:下载
  • 作者:M.Muni Sankar ; M.Suresh ; Dr.G.Suresh Babu
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:5
  • DOI:10.15680/ijircce.2015.0305101
  • 出版社:S&S Publications
  • 摘要:A New Efficient Algorithm for Remaining of High Density Salt and Pepper Noise through ModifiedDBUF Median Filter for Video Restoration. The proposed filter (MDBUMF) replaces the noisy pixel by median valuewhen some of the elements with values 0‟s and 255‟s are present in the selected window. If all the pixel values in theselected window are 0‟s and 255‟s means then the noisy pixel is replaced by mean value of all the elements present inthat selected window. The throughput of MDBUMF is a partial noise removed image. Simulation results show thefeasibility of the proposed method. The proposed method is tested against different color images and it gives excellentPeak Signal-to-Noise Ratio (PSNR) than the Median Filter (MF), Switching Median Filter (SMF), BoundaryDiscriminative Noise Reduction Algorithm (BDNRA), Decision Based Algorithm (DBA), and Decision Based Unsymmetric Median Filter (DBUMF).
  • 关键词:Switching Median Filter (SMF); Boundary Discriminative Noise Reduction Algorithm (BDNRA);Decision Based Algorithm (DBA); and Decision Based Un symmetric Median Filter (DBUMF).
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