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Noise Detection and Image Processing using APF

Author(s):

Reshma P K , Malabar College of Engineering and Technology; Mrudula K P, Malabar College of Engineering and Technology

Keywords:

Image Processing, SMF, APF

Abstract

To overcome the drawbacks of existing filters for salt and pepper noises, an adaptive probability filter is proposed. For an image, it detects salt and pepper noises based on the characteristic of minimum and maximum intensity values of the images, as well as the distribution of noise. If the noise-free intensities in neighbourhood repeat with a certain probability, the noise-free intensity with highest repeated frequency is used to remove noise based on the statistical significance; otherwise, the median of noise-free pixels in neighbourhood is used to remove noise. Experiments show that the proposed method is capable of detecting noise more accurately and perform much better than the existing distinguished filters in terms of peak-signal-to-noise ratio, image enhancement factor, and visual representation at all the noise densities.

Other Details

Paper ID: IJSRDV7I40491
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 785-795

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