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BM3D Based On Affine Transformation for Image Denoising

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  • V. Rabila
  • G. Bharatha Sreeja

Abstract

In this paper, BM3D (Block Matching and 3Dimensional) Filtering method is proposed to denoise the image. Wiener filtering and soft thresholding method is used for recovering the original image from the noisy image. The most important technique for removal of noise in images is due to linear motion or unfocussed optics is the Wiener filter. Performance of BM3D method is compared using the parameters such as PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error). The performance of BM3D method is analysed with the existing method.

Suggested Citation

  • V. Rabila & G. Bharatha Sreeja, 2017. "BM3D Based On Affine Transformation for Image Denoising," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 176-178, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172234
    Note: Article URL: https://ijsrcseit.com/CSEIT172234
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