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  • 标题:Fuzzy Logic Based AdaptiveImage Denoising
  • 本地全文:下载
  • 作者:Monika Sharma ; SarabjitKaur
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • 页码:502-507
  • 出版社:Technopark Publications
  • 摘要:In this paper we proposed a new fuzzy logic based approach that detects and removes random valued salt and pepper noise in gray scale digital images. Proposed work is done in two steps, in first step we detect noisy pixels using fuzzy logic, and in second step we replace those noisy pixels using our fuzzy based approach. Our algorithm also includes the histogram based approach for noise removal from the image. We analyze our method for image parameters like PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error). To illustrate the proposed method, experiments have been performed on standard gray level test image like Lena and results are compared with other popular image denoising methods. The resultsshow that the proposed methodhas relatively good performance with desirable improvement in the PSNR and MSE of the image
  • 关键词:Impulse Noise; Fuzzy Logic; image denoising; PSNR
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