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

Document Type : Research Paper

Authors
Prashant Kumar Dubey 1
Pratima Dubey 1
Mayank Sharma 2
Soni Changlani 3
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
10.22075/ijnaa.2022.6337
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
image Processing
noise Removal
filtering techniques
mean square error (MSE)
signal to noise ratio(SNR)
Peak Signal noise ratio(PSNR)
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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

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