An Improved Edge Preserving Smoothing Method (IEPS)

Rugumira, Georgia; Wang, Gang; Huang, Xin-Lin; Matiko, Joseph W.

doi:10.1109/icoip.2010.304

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…In low density noise it provides noise suppression, while in high density noise it causes signal suppression. To overcome these shortcomings some improved median filter algorithms have been proposed such as Progressive Switching Median (PSM) filter [4], Extremum Median (EM) filter [5], Adaptive Median (ADM) filter [6] and Weighted Median (WM) filter [7] and some other methods like those in [12,13,15,16].Another approach that tries to preserve edges is proposed in [14] but it does not provide good results in high noise densities rather it adds some spurious values in the image. These filters unlike the SM first model the degradation by classifying the pixels as noisy and noise free pixels and then perform filtering only on the noisy pixels.…”

Section: Introductionmentioning

confidence: 99%

A novel edge preserving filter for impulse noise removal

Singh

Mehrotra

Nigam

et al. 2011

2011 International Conference on Multimedia, Signal Processing and Communication Technologies

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This paper proposes an edge preserving filter for removal of impulse noise. Digital images received from various sources are often degraded due to impulse noise and thus become unsuitable for further processing. To overcome this degradation removal of impulse noise is very important. In this paper an effective and efficient method of impulse noise removal is proposed which not only removes noise but also preserves edges. The algorithm first finds noisy, noise free and edge pixels. Then it replaces the noisy pixel with a pixel from its neighbourhood which is nearest to the adaptive median of the noisy pixel, this removes the noise as well as preserves edges and fine image details.

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