International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 2, February 2014 Edition [ISSN 2250-3153]


Image de-noising using Markov Random Field in Wavelet Domain
      Shweta Chaudhary, Prof. A. L. Wanare
Abstract: Removing noise from original image is still a challenging problem for researchers. There have been several published algorithm and each approach has its assumptions, advantages and disadvantages. Markov Random Field is n-dimensional random process defined on a on a discrete lattice. Markov Random Field is a new branch of probability theory that promises to be important both in theory and application of probability. This paper is an attempt to present the basic idea of the subject and its application in image denoising to the wider audience. In this paper, a novel approach for image denoising is introduced using ICM (Iterated Conditional Modes) approach of Markov Random Fields model.

Reference this Research Paper (copy & paste below code):

Shweta Chaudhary, Prof. A. L. Wanare (2018); Image de-noising using Markov Random Field in Wavelet Domain; Int J Sci Res Publ 4(2) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0214.php?rp=P262341
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