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  • 标题:An Efficient Weighted Median Filter for the Restoration of Images Corrupted by Random Valued Impulse Noise
  • 本地全文:下载
  • 作者:Justin Varghese ; Saudia Subash ; Mohamed Samiulla Khan
  • 期刊名称:International Journal of Computer Information Systems and Industrial Management Applications
  • 印刷版ISSN:2150-7988
  • 电子版ISSN:2150-7988
  • 出版年度:2014
  • 期号:6
  • 页码:427-436
  • 出版社:Machine Intelligence Research Labs (MIR Labs)
  • 摘要:The paper proposes a new adaptive weighted median filter for the restoration of impule corrupted digital images by incorporating the limitations posed by Directional Weighted Median Filter (DWMF [4] and the algorithm proposed by Justin et. al [20]-[21]. The algorithm incorporates sixteen directions to identify the presence of edges and to preserve these detected edges while restoring images. The proposed filter uses an adaptive iterative median filter to replace the impulses. The experimental results shows that the proposed filter works better than other competitive filters and is capable of preserving edges.
  • 关键词:Median Filter; Adaptive Filter; Impulse Noise; Image ; Restoration.
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