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Image Restoration Using Particle Filters By Improving The Scale Of Texture With MRF
Anna Saro Vijendran, Bobby Lukose
Pages - 306 - 316     |    Revised - 15-09-2012     |    Published - 24-10-2012
Volume - 6   Issue - 5    |    Publication Date - October 2012  Table of Contents
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KEYWORDS
Canny, Edge Sharpener, Edge Detection
ABSTRACT
Traditional techniques are based on restoring image values based on local smoothness constraints within fixed bandwidth windows where image structure is not considered. Common problem for such methods is how to choose the most appropriate bandwidth and the most suitable set of neighboring pixels to guide the reconstruction process. The present work proposes a denoising technique based on particle filtering using MRF (Markov Random Field). It is an automatic technique to capture the scale of texture. The contribution of our method is the selection of an appropriate window in the image domain. For this we first construct a set containing all occurrences then the conditional pdf can be estimated with a histogram of all center pixel values. Particle evolution is controlled by the image structure leading to a filtering window adapted to the image content. Our method explores multiple neighbors’ sets (or hypotheses) that can be used for pixel denoising, through a particle filtering approach. This technique associates weights for each hypothesis according to its relevance and its contribution in the denoising process.
CITED BY (4)  
1 Lukose, B., & Vijendran, A. S. (2014). Image Noise Removal Using Rao-Blackwellized Particle Filter with Maximum Likelihood Estimation. International Review on Computers and Software (IRECOS), 9(5), 784-792.
2 Vijendran, A. S., & Lukose, B. (2013). An Improved Image Denoising Technique for Digital Mobile Camera Images. International Journal of Advanced Computer Research, 3(3), 184.
3 Vijendran, A. S., Lukose, B., & Head, D. Fast and Efficient Method for Image Denoising.
4 SaroVijendran, A., & Lukose, B. Removal of Gaussian Noise Using Rao-Blackwellised Particle Filters.
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Dr. Anna Saro Vijendran
S.N.R Sons College - India
saroviji@rediffmail.com
Mr. Bobby Lukose
Hindusthan College of Arts & Science - India


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