The Bayesian approach applied to image denoising gives rise to a regularization problem. Total variation regularizers have been introduced with the motivation of being edge preserving. However we show here that this may not always be the best choice in images with low/medium frequency content like digital radiographs. We also draw the attention on the metric used to evaluate the distance between two images and how this can influence the choice of the regularization parameter. Lastly, we show that hyper-surface regularization parameter has little effect on the filtering quality.

Optimal choice of regularization parameter in image denoising / M. Lucchese, I. Frosio, N. Borghese - In: Image analysis and processing, ICIAP 2011 : 16th International conference : Ravenna, Italy, september 14-16, 2011 : proceedings. Part 1 / [a cura di] G. Maino, G.L. Foresti. - Berlin : Springer, 2011. - ISBN 9783642240843. - pp. 534-543 (( Intervento presentato al 16. convegno International Conference on Image Analysis and Processing (ICIAP) tenutosi a Ravenna nel 2011 [10.1007/978-3-642-24085-0_55].

Optimal choice of regularization parameter in image denoising

M. Lucchese
Primo
;
I. Frosio
Secondo
;
N. Borghese
Ultimo
2011

Abstract

The Bayesian approach applied to image denoising gives rise to a regularization problem. Total variation regularizers have been introduced with the motivation of being edge preserving. However we show here that this may not always be the best choice in images with low/medium frequency content like digital radiographs. We also draw the attention on the metric used to evaluate the distance between two images and how this can influence the choice of the regularization parameter. Lastly, we show that hyper-surface regularization parameter has little effect on the filtering quality.
Bayesian Filtering; Denoising; Digital Radiography; Total Variation Regularization
Settore INF/01 - Informatica
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
2011
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/191791
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