Bonfring International Journal of Industrial Engineering and Management Science

Impact Factor: 0.541 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)


Decision Tree based Denoising Method for Removal of Impulse Noise

K. Murugan, Dr.V.P. Arunachalam and Dr.S. Karthik


Abstract:

Impulse noise mostly causes alterations in the images. So we intend to do a denoising method for removal of random valued impulse noise. There are two methods involved in this scheme. To identify the noisy pixel, decision tree-based impulse noise detector is used. To reconstruct the intensity values of noisy pixels, an edge-preserving filter is used. To improve the cause of removal of impulse noise, an adaptive technology is used. By using this method we can yield an effective performance compared to the existing methods.

Keywords: Decision Tree, Denoising, Edge Preserving Filter, Impulse Noise.

Volume: 7 | Issue: 2

Pages: 35-39

Issue Date: May , 2017

DOI: 10.9756/BIJIEMS.8349

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