International Journal of Nonlinear Analysis and Applications

Comparative performance analysis of spatial domain filtering techniques in digital image processing for removing different types of noise

Document Type : Research Paper

Authors

1 Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India

2 Mathematics Division, SASL, VIT University Bhopal, (M.P.), India

3 Department of Electronics and Comm. Engineering, LNCT College, Bhopal (M.P.), India

Abstract

The reduction of the noise of the images always prevails as a challenge in the field of image processing. An image obtained after the elimination of noise has a higher clarity in terms of interpretation and study analysis in different fields such as medical, satellite and radar. This research work examines the various methods of de-noise images in the spatial domain and a comparison between several filtering techniques is carried out in the presence of different types of noise to achieve a high-quality image and to find the most suitable and reliable method for De-noising images. performance of all the filters is compared using parameters such as Mean Square Error (MSE), peak signal to noise ratio (PSNR).

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Special Issue for selected papers of ICDACT-2021
The link to the conference website is https://vitbhopal.ac.in/event/icdact_dec_21/
March 2022
Pages 117-125
  • Receive Date: 15 August 2022
  • Revise Date: 22 December 2021
  • Accept Date: 15 January 2022