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On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency

Tutkimustuotosvertaisarvioitu

Standard

On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency. / Abramova, V.; Lukin, V.; Abramov, S.; Rubel, O.; Vozel, B.; Chehdi, K.; Astola, J.; Egiazarian, K.

julkaisussa: Telecommunications and Radio Engineering, Vuosikerta 75, Nro 2, 2016, s. 139-154.

Tutkimustuotosvertaisarvioitu

Harvard

Abramova, V, Lukin, V, Abramov, S, Rubel, O, Vozel, B, Chehdi, K, Astola, J & Egiazarian, K 2016, 'On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency', Telecommunications and Radio Engineering, Vuosikerta. 75, Nro 2, Sivut 139-154. https://doi.org/10.1615/TelecomRadEng.v75.i2.40

APA

Abramova, V., Lukin, V., Abramov, S., Rubel, O., Vozel, B., Chehdi, K., ... Egiazarian, K. (2016). On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency. Telecommunications and Radio Engineering, 75(2), 139-154. https://doi.org/10.1615/TelecomRadEng.v75.i2.40

Vancouver

Abramova V, Lukin V, Abramov S, Rubel O, Vozel B, Chehdi K et al. On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency. Telecommunications and Radio Engineering. 2016;75(2):139-154. https://doi.org/10.1615/TelecomRadEng.v75.i2.40

Author

Abramova, V. ; Lukin, V. ; Abramov, S. ; Rubel, O. ; Vozel, B. ; Chehdi, K. ; Astola, J. ; Egiazarian, K. / On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency. Julkaisussa: Telecommunications and Radio Engineering. 2016 ; Vuosikerta 75, Nro 2. Sivut 139-154.

Bibtex - Lataa

@article{7e2e00d9cc424a6bb8154d912ca6e5db,
title = "On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency",
abstract = "Several approaches to prediction of denoising efficiency for the DCT-based filters with application to single and multichannel images corrupted by different types of noise have been proposed recently. For all of them, it has been assumed that the noise characteristics are a priori and accurately known. In this paper, we analyze the influence of errors in estimated noise variance on prediction accuracy. It is shown that this influence depends upon input parameter used in prediction. Based on the analysis, requirements to accuracy of the noise variance estimation are provided.",
keywords = "Additive noise, Denoising efficiency prediction, Estimation errors, Image filtering, Requirements to estimation accuracy",
author = "V. Abramova and V. Lukin and S. Abramov and O. Rubel and B. Vozel and K. Chehdi and J. Astola and K. Egiazarian",
note = "EXT={"}Lukin, V.{"}",
year = "2016",
doi = "10.1615/TelecomRadEng.v75.i2.40",
language = "English",
volume = "75",
pages = "139--154",
journal = "Telecommunications and Radio Engineering",
issn = "0040-2508",
publisher = "Begell House",
number = "2",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - On requirements to accuracy of noise variance estimation in prediction of DCT-based filter efficiency

AU - Abramova, V.

AU - Lukin, V.

AU - Abramov, S.

AU - Rubel, O.

AU - Vozel, B.

AU - Chehdi, K.

AU - Astola, J.

AU - Egiazarian, K.

N1 - EXT="Lukin, V."

PY - 2016

Y1 - 2016

N2 - Several approaches to prediction of denoising efficiency for the DCT-based filters with application to single and multichannel images corrupted by different types of noise have been proposed recently. For all of them, it has been assumed that the noise characteristics are a priori and accurately known. In this paper, we analyze the influence of errors in estimated noise variance on prediction accuracy. It is shown that this influence depends upon input parameter used in prediction. Based on the analysis, requirements to accuracy of the noise variance estimation are provided.

AB - Several approaches to prediction of denoising efficiency for the DCT-based filters with application to single and multichannel images corrupted by different types of noise have been proposed recently. For all of them, it has been assumed that the noise characteristics are a priori and accurately known. In this paper, we analyze the influence of errors in estimated noise variance on prediction accuracy. It is shown that this influence depends upon input parameter used in prediction. Based on the analysis, requirements to accuracy of the noise variance estimation are provided.

KW - Additive noise

KW - Denoising efficiency prediction

KW - Estimation errors

KW - Image filtering

KW - Requirements to estimation accuracy

U2 - 10.1615/TelecomRadEng.v75.i2.40

DO - 10.1615/TelecomRadEng.v75.i2.40

M3 - Article

VL - 75

SP - 139

EP - 154

JO - Telecommunications and Radio Engineering

JF - Telecommunications and Radio Engineering

SN - 0040-2508

IS - 2

ER -