A Study on Digital Image Restoration Filters

Authors

  • Shaila Banu SK  B.Tech Scholar Department of ECE, Eswar College of Engineering, Narasaraopet, Andhra Pradesh, India
  • Sivaparvathi B  B.Tech Scholar Department of ECE, Eswar College of Engineering, Narasaraopet, Andhra Pradesh, India
  • Munwar Ali SK  Assistant Professor Department of ECE, Eswar College of Engineering, Narasaraopet, Andhra Pradesh, India
  • Raheema SK  B.Tech Scholar Department of ECE, Eswar College of Engineering, Narasaraopet, Andhra Pradesh, India
  • Sailaja R  B.Tech Scholar Department of ECE, Eswar College of Engineering, Narasaraopet, Andhra Pradesh, India
  • Kamala P  B.Tech Scholar Department of ECE, Eswar College of Engineering, Narasaraopet, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/IJSRST120724

Keywords:

Color Image, Grayscale Image, Motion Blurring, Random Noise, Inverse Filtering, Wiener Filtering, Restoration of an Image.

Abstract

In this paper, at first a color image is taken Then the image is transformed into a grayscale image. After that, the motion blurring effect is applied to that image according to the image degradation model described in equation 3.the blurring effect can be controlled by a and b components of the model. Then random noise is added in the image via MATLAB programming. Many methods can restore the noisy and motion blurred image: particularly in this paper inverse filtering as well as wiener filtering are implemented for the restoration purpose consequently, both motion blurred and noisy motion blurred image are restored via inverse filtering as well as wiener filtering techniques and the comparison is made among them.

References

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Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
Shaila Banu SK, Sivaparvathi B, Munwar Ali SK, Raheema SK, Sailaja R, Kamala P, " A Study on Digital Image Restoration Filters, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 2, pp.28-33, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRST120724