Analysis of the Markov chain denoising filter dispersion parameter

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Document Type

Conference Paper

Publication Date

5-12-2016

Author Affiliation

  • Nasir Uddin is PhD Scholar at the Department of Computer Science, Institute of Business Administration, Karachi
  • Sayeed Ghani is Associate Dean of the Faculty of Computer Science at Institute of Business Administration, Karachi

Conference Name

2015 International Conference on Information and Communication Technologies (ICICT)

Conference Location

Karachi, Pakistan

Conference Dates

12-13 December 2015

ISBN/ISSN

84973862307 (Scopus)

First Page

1

Last Page

6

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract / Description

Stochastic techniques have been widely employed to improve the quality of noisy images. This research paper analyzes the dispersion parameter of the Fokker Plank equation (Kolmogorov Forward equation), which forms the bases to build a transition probability matrix. The empirical results depict that besides being dependent on an image this parameter also depends on the type of noise. Processing time is a key factor in real time utility of an algorithm. In a number of situations we try to find a tradeoff between low processing time and complexity of an algorithm. Markov image enhancement technique provides a comparatively low processing time and acceptable signal to noise ratio solution for real time applications. The performance of Markov denoising technique could be further enhanced through optimization of this parameter.

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