An information-theoretic quality assessment approach for X-ray images

C. Papalazarou; F.M.J. Willems; R.M. Snoeren; P.M.J. Rongen; P.H.N. With, de; J.N. Kroon

An information-theoretic quality assessment approach for X-ray images

C. Papalazarou, F.M.J. Willems, R.M. Snoeren, P.M.J. Rongen, P.H.N. With, de, J.N. Kroon

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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In this work, Shannon's formulation of the information capacity of a communication channel is considered as a framework for the quantification of image quality. We describe a method to apply Shannon's noisy channel coding theorem on radiographic images, which exhibit signal-dependent noise. Results of a number of experiments on real X-ray images are presented, showing the correlation of the proposed method with classical image quality metrics from Linear Systems Theory.

Originele taal-2	Engels
Titel	Proceedings of the 29th Symposium on Information Theory in the Benelux : Leuven, Belgium, May 29 - 30, 2008
Redacteuren	L. Van der Perre, A Dejonghe, V. Ramon
Plaats van productie	Leuven
Uitgeverij	IMEC
Pagina's	137-144
ISBN van geprinte versie	978-90-9023135-8
Status	Gepubliceerd - 2008

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Papalazarou, C., Willems, F. M. J., Snoeren, R. M., Rongen, P. M. J., With, de, P. H. N., & Kroon, J. N. (2008). An information-theoretic quality assessment approach for X-ray images. In L. Van der Perre, A. Dejonghe, & V. Ramon (editors), Proceedings of the 29th Symposium on Information Theory in the Benelux : Leuven, Belgium, May 29 - 30, 2008 (blz. 137-144). IMEC.

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title = "An information-theoretic quality assessment approach for X-ray images",

abstract = "In this work, Shannon's formulation of the information capacity of a communication channel is considered as a framework for the quantification of image quality. We describe a method to apply Shannon's noisy channel coding theorem on radiographic images, which exhibit signal-dependent noise. Results of a number of experiments on real X-ray images are presented, showing the correlation of the proposed method with classical image quality metrics from Linear Systems Theory.",

author = "C. Papalazarou and F.M.J. Willems and R.M. Snoeren and P.M.J. Rongen and {With, de}, P.H.N. and J.N. Kroon",

year = "2008",

language = "English",

isbn = "978-90-9023135-8",

pages = "137--144",

editor = "{Van der Perre}, L. and A Dejonghe and V. Ramon",

booktitle = "Proceedings of the 29th Symposium on Information Theory in the Benelux : Leuven, Belgium, May 29 - 30, 2008",

publisher = "IMEC",

}

An information-theoretic quality assessment approach for X-ray images. / Papalazarou, C.; Willems, F.M.J.; Snoeren, R.M. et al.
Proceedings of the 29th Symposium on Information Theory in the Benelux : Leuven, Belgium, May 29 - 30, 2008. uitgave / L. Van der Perre; A Dejonghe; V. Ramon. Leuven: IMEC, 2008. blz. 137-144.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - An information-theoretic quality assessment approach for X-ray images

AU - Papalazarou, C.

AU - Willems, F.M.J.

AU - Snoeren, R.M.

AU - Rongen, P.M.J.

AU - With, de, P.H.N.

AU - Kroon, J.N.

PY - 2008

Y1 - 2008

N2 - In this work, Shannon's formulation of the information capacity of a communication channel is considered as a framework for the quantification of image quality. We describe a method to apply Shannon's noisy channel coding theorem on radiographic images, which exhibit signal-dependent noise. Results of a number of experiments on real X-ray images are presented, showing the correlation of the proposed method with classical image quality metrics from Linear Systems Theory.

AB - In this work, Shannon's formulation of the information capacity of a communication channel is considered as a framework for the quantification of image quality. We describe a method to apply Shannon's noisy channel coding theorem on radiographic images, which exhibit signal-dependent noise. Results of a number of experiments on real X-ray images are presented, showing the correlation of the proposed method with classical image quality metrics from Linear Systems Theory.

M3 - Conference contribution

SN - 978-90-9023135-8

SP - 137

EP - 144

BT - Proceedings of the 29th Symposium on Information Theory in the Benelux : Leuven, Belgium, May 29 - 30, 2008

A2 - Van der Perre, L.

A2 - Dejonghe, A

A2 - Ramon, V.

PB - IMEC

CY - Leuven

ER -

An information-theoretic quality assessment approach for X-ray images

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