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Novel method for removal of multichannel impulse noise based on half-space deepest location

[+] Author Affiliations
Djordje Baljozović, Branko Kovačević

University of Belgrade, School of Electrical Engineering, Bulevar kralja Aleksandra 73, 11120, Belgrade, Serbia

Aleksandra Baljozović

Teesside University, School of Computing, Middlesbrough, Tees Valley, TS1 3BA, United Kingdom

J. Electron. Imaging. 21(1), 013025 (Apr 16, 2012). doi:10.1117/1.JEI.21.1.013025
History: Received April 1, 2011; Revised January 12, 2012; Accepted February 13, 2012
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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.

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© 2012 SPIE and IS&T

Citation

Djordje Baljozović ; Branko Kovačević and Aleksandra Baljozović
"Novel method for removal of multichannel impulse noise based on half-space deepest location", J. Electron. Imaging. 21(1), 013025 (Apr 16, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.1.013025


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