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  • 标题:High Density Salt and Pepper Noise Removal in Images Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter Cascaded with Gaussian filter
  • 本地全文:下载
  • 作者:Prakriti Thakur ; Jitendra Rajpurohit ; Rekha Chaturvedi
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:10
  • 页码:14850-14855
  • DOI:10.18535/ijecs/v4i10.39
  • 出版社:IJECS
  • 摘要:An adapted decision based unsymmetrical trimmed mean filter cascaded with Gaussian filter (ADCG) algorithm for the retrievalof gray scaled image which is induced by a very high density Salt and Pepper (impulse) noise is proposed and tested in this paper.The proposed calculation supplants the noisy pixel by trimmed mean quality when other pixel values, 0's and 255's are available in theselected window and when all the pixel qualities are 0's and 255's then the noisy pixel is supplanted by mean estimation of the considerablenumber of components present in the selected window. This proposed methodology shows preferred results over the Standard Median Filter(MF), Decision Based Algorithm (DBA), Modified Decision Based Algorithm (MDBA), Progressive Switched Median Filter (PSMF) andModified Decision Based Unsymmetrical Trimmed Median Filter (MDBUTMF). The proposed methodology is tried against distinctivepictures and it gives better PSNR that is Peak Signal-to-Noise Ratio
  • 关键词:mean filter; salt and pepper noise; unsymmetrical trimmed mean filter; cascaded filter
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