Fuzzy Two-Step Filter for Impulse Noise Reduction From Color Images
Citations Over TimeTop 10% of 2006 papers
Abstract
A new framework for reducing impulse noise from digital color images is presented, in which a fuzzy detection phase is followed by an iterative fuzzy filtering technique. We call this filter the fuzzy two-step color filter. The fuzzy detection method is mainly based on the calculation of fuzzy gradient values and on fuzzy reasoning. This phase determines three separate membership functions that are passed to the filtering step. These membership functions will be used as a representation of the fuzzy set impulse noise (one function for each color component). Our proposed new fuzzy method is especially developed for reducing impulse noise from color images while preserving details and texture. Experiments show that the proposed filter can be used for efficient removal of impulse noise from color images without distorting the useful information in the image.
Related Papers
- An Improved Adaptive Median Filtering Method for Impulse Noise Detection(2009)
- → An Efficient Approach for the Removal of Bipolar Impulse Noise using Median Filter(2015)8 cited
- → A new adaptive median filtering technique for removal of impulse noise from images(2011)7 cited
- Removal of High Density Salt & Pepper Noise Using ModifiedDecision Based Un-Symmetric Trimed Median Filter(2013)
- → Switching Directional Median Filter Specially Designed for Impulse Noise and Its Comparison with other Median Filters(2015)