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  • 标题:Image Denoising Methods - Comparison of foGSM, Median Filter and Average Filter
  • 本地全文:下载
  • 作者:]Arun Kumar.K ; [2]Nandhini.R ; [3]Dhivya.S
  • 期刊名称:International Journal of Communication and Computer Technologies
  • 印刷版ISSN:2278-9723
  • 出版年度:2014
  • 卷号:2
  • 期号:1
  • 出版社:IJCCTS
  • 摘要:Visualization is the creation of visual representation of an image or data. Several visual design techniques are used for the visualization of natural image statistics. The visual design techniques such as PCA, KPCA, FPSS have seen to be ineffective in denoising and this also increases the complexity of natural image statistics. By introducing foGSM, the effectiveness in denoising can be improved. The foGSM is a visualization technique, where the image is first segmented into several segments and the mixtures of GSM are computed for each segment. The GSM mixtures is computed by using local wiener estimation. These computed segments are combined to provide a denoised image. The damaged features of an image can be restored by using foGSM in image inpainting.
  • 关键词:gaussian noise; subbands; foGSM; local wiener estimator
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