High Density of Noise Removal Using FBD Filter
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 11
Abstract
This research work has been done on data mining for noise type detection and filtering process to ample more effectiveness for removing the noise content in an image. In this article we have proposed a scheme of data mining based on filtering techniques. In this paper, improved bilateral filter is used for the removal of high density Gaussian noise, decision based alpha trimmed for the removal of high density salt and pepper noise and FBD (Fuzzy–Bilateral-DBMF) Filter for the removal of these above two noises present in the colored images . The experimental results computed on MATLAB software with Image Processing toolbox. Mean square error, Root mean square error and Structure Context are major source of focus for the performance evaluation of the colored images.
Authors and Affiliations
Gagandeep Kaur, Er. Gursimranjeet Kaur
Keywords
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- EP ID EP21407
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