Salt and Pepper Noise Removal Filter for 8-Bit Images Based on Local and Global Occurrences of Grey Levels as Selection Indicator

Authors

  • Isma Irum COMSATS Institute of Information Technology, Wah Cantt
  • Muhammad Sharif COMSATS Institute of Information Technology, Wah Cantt
  • Mudassar Raza COMSATS Institute of Information Technology, Wah Cantt
  • Mussarat Yasmin COMSATS Institute of Information Technology, Wah Cantt

DOI:

https://doi.org/10.3126/njst.v15i2.12128

Keywords:

Decision based filtration, Image de noising, Image restoration, Impulse noise, Trimmed moving window

Abstract

A spatial resolution decision based trimmed moving window filtering method has been proposed for salt andpepper noise removal. It provides a criterion for the selection of neighboring pixels based on the probabilities of local and global occurrences of grey levels of noisy image. It works well for the high noise densities up to 90% and contributes very effectively in estimating the true or near to true values of the original image. In order to measure the quality of image, well known quantification measures SSIM and PSNR are used. The method is compared with other existing techniques and shows that it outperforms other methods in terms of PSNR.

DOI: http://dx.doi.org/njst.v15i2.12128

Nepal Journal of Science and Technology Vol. 15, No.2 (2014) 123-132

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Published

2015-02-16

How to Cite

Irum, I., Sharif, M., Raza, M., & Yasmin, M. (2015). Salt and Pepper Noise Removal Filter for 8-Bit Images Based on Local and Global Occurrences of Grey Levels as Selection Indicator. Nepal Journal of Science and Technology, 15(2), 123–132. https://doi.org/10.3126/njst.v15i2.12128

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Section

Articles