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In this paper a Threshold based Directional Weighted Median (TDWM) Filter for Removal of Random valued Impulse Noises (RVIN) from digital and Infrared Images, has been proposed. This filter works in two phases; at first it detects the impulses, and then replaces the pixels affected with impulses by an estimated value. This filter works efficiently in suppressing impulses from both digital images and...
To remove random valued impulse noise from the digital images, a novel two step method has been proposed. The first step is to classify whether the center pixel in the 5 × 5 window is noisy or not, which is done using all neighbor directional weighted pixels in a 5 × 5 mask. The proposed algorithm performs simple arithmetic absolute differences on the pixels aligned in the four main directions with...
In this paper a novel Modified Directional Weighted Median Based (MDWM) filter has been proposed, which is based on the differences between the current pixel and its neighbors aligned with four main directions. A direction index is used for each edge aligned with a given direction. Then, the minimum of these four direction indexes is used for impulse detection. Known median-based de-noising methods...
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