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Journal of Electronic Imaging

Novel method for removal of multichannel impulse noise based on half-space deepest location
Author(s): Djordje Baljozovic; Branko Kovacevic; Aleksandra Baljozovic
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Paper Abstract

A novel method is proposed for removing impulse (random-valued and salt-and-pepper) noise from multichannel digital images based on an adapted version of the DEEPLOC algorithm introduced by A. Struyf and P. J. Rousseeuw for calculation of approximate half-space (Tukey's) deepest location (median) in multivariate case. Due to its intrinsic multivariate/multidimensional nature, the proposed method eliminates the noise simultaneously on all channels without their separation, which preserves the spectral correlation between channels in a multichannel image. Denoising results of this new nonlinear spatial domain filter applied to benchmark images outperform currently used state-of-the-art filters for impulse noise removal from multichannel images in terms of both objective effectiveness criteria [peak-signal-to-noise-ratio (PSNR), mean absolute error (MAE), and normalized color distance (NCD)] and visual quality. The proposed filter successfully preserves the edges and fine image details, and is very effective for removal of medium and heavy multichannel impulse noise.

Paper Details

Date Published: 16 April 2012
PDF: 28 pages
J. Electron. Imaging. 21(1) 013025 doi: 10.1117/1.JEI.21.1.013025
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Djordje Baljozovic, Univ. of Belgrade (Serbia)
Branko Kovacevic, Univ. of Belgrade (Serbia)
Aleksandra Baljozovic, Teesside Univ. (United Kingdom)


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