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Paper Details
Paper Title
An Efficient Algorithm Image Processing Technique Using Bilateral Filtering Method
Authors
Rachita Kansal, Bhumika Garg
Abstract
A new and efficient algorithm for high-density salt and pepper noise removal in images and videos is proposed. The existing non-linear filter like Standard Median Filter (SMF), Adaptive Median Filter (AMF), Decision Based Algorithm (DBA) and Robust Estimation Algorithm (REA) shows better results at low and medium noise densities. At highnoise densities, their performance is poor. A new algorithm to remove high-density salt and pepper noise using modified sheer sorting method is proposed. The new algorithm has lower computation time when compared to other standard algorithms. Results of the algorithm is compared with various existing algorithms and it is proved that the new method has better visual appearance and quantitative measures at higher noise densities as high as 90%.
Keywords- Processing,Color Image,Image Filtering ,Hybrid Filter
Publication Details
Unique Identification Number - IJEDR1603120Page Number(s) - 730-737Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Rachita Kansal, Bhumika Garg, " An Efficient Algorithm Image Processing Technique Using Bilateral Filtering Method", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.730-737, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603120.pdf
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