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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-6
Emma Munoz-Moreno , Laboratorio de Procesado de Imagen. Universidad de Valladolid, Spain
Santiago Aja-Fernandez , Laboratorio de Procesado de Imagen. Universidad de Valladolid, Spain
Marcos Martin-Fernandez , Laboratorio de Procesado de Imagen. Universidad de Valladolid, Spain
ABSTRACT
Since tensor usage has become more and more popular in image processing, the assessment of the quality between tensor images is necessary for the evaluation of the advanced processing algorithms that deal with this kind of data. In this paper, we expose the methodology that should be followed to extend well-known image quality measures to tensor data. Two of these measures based on structural comparison are adapted to tensor images and their performance is shown by a set of examples. By means of these experiments the advantages of structural based measures will be highlighted, as well as the need for considering all the tensor components in the quality assessment.
CITATION
Emma Munoz-Moreno, Santiago Aja-Fernandez, Marcos Martin-Fernandez, "A methodology for quality assessment in tensor images", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-6, doi:10.1109/CVPRW.2008.4562965
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