Context-based prediction filtering of impulse noise images

  title={Context-based prediction filtering of impulse noise images},
  author={Arpad Gellert and Remus Brad},
  journal={IET Image Process.},
A new image denoising method for impulse noise in greyscale images using a context-based prediction scheme is presented. The algorithm replaces the noisy pixel with the value occurring with the highest frequency, in the same context as the replaceable pixel. Since it is a context-based technique, it preserves the details in the filtered images better than other methods. In the aim of validation, the authors have compared the proposed method with several existing denoising methods, many of them… 

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    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
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