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iFAS : image fidelity assessment

Benhur Ortiz Jaramillo UGent, Ljiljana Platisa UGent and Wilfried Philips UGent (2017) Proceedings of the 6th International Workshop Computational Color Imaging. In Lecture Notes in Computer Science 10213. p.83-94
abstract
image Fidelity Assessment (iFAS) is a software tool designed to assist image quality researchers providing easy access to a range of state-of-the-art measures which can be applied on a single pair of images and/or in a full database, as well as intuitive visualizations that aid data analysis, e.g., images and histograms of pixel-wise image differences, scatter plots and correlation analysis. The software is freely available for non-commercial use.
Please use this url to cite or link to this publication:
author
organization
year
type
bookChapter
publication status
published
subject
keyword
fidelity assessment
book title
Proceedings of the 6th International Workshop Computational Color Imaging
editor
Simone Bianco, Raimondo Schettini, Alain Tr{\'e}meau and Shoji Tominaga
series title
Lecture Notes in Computer Science
volume
10213
pages
83 - 94
publisher
Springer International Publishing
place of publication
Cham
conference name
6th International Workshop Computational Color Imaging
conference location
Milan, Italy
conference start
2017-03-29
conference end
2017-03-31
ISSN
978-3-319-56010-6
DOI
10.1007/978-3-319-56010-6_7
language
English
UGent publication?
yes
classification
B2
copyright statement
I have transferred the copyright for this publication to the publisher
id
8525822
handle
http://hdl.handle.net/1854/LU-8525822
date created
2017-06-29 17:11:45
date last changed
2017-06-30 09:54:04
@incollection{8525822,
  abstract     = {image Fidelity Assessment (iFAS) is a software tool designed to assist image quality researchers providing easy access to a range of state-of-the-art measures which can be applied on a single pair of images and/or in a full database, as well as intuitive visualizations that aid data analysis, e.g., images and histograms of pixel-wise image differences, scatter plots and correlation analysis. The software is freely available for non-commercial use.},
  author       = {Ortiz Jaramillo, Benhur and Platisa, Ljiljana and Philips, Wilfried},
  booktitle    = {Proceedings of the 6th International Workshop Computational Color Imaging},
  editor       = {Bianco, Simone and Schettini, Raimondo and Tr\{{\textbackslash}'e\}meau, Alain and Tominaga, Shoji},
  issn         = {978-3-319-56010-6},
  keyword      = {fidelity assessment},
  language     = {eng},
  location     = {Milan, Italy},
  pages        = {83--94},
  publisher    = {Springer International Publishing},
  series       = {Lecture Notes in Computer Science},
  title        = {iFAS : image fidelity assessment},
  url          = {http://dx.doi.org/10.1007/978-3-319-56010-6\_7},
  volume       = {10213},
  year         = {2017},
}

Chicago
Ortiz Jaramillo, Benhur, Ljiljana Platisa, and Wilfried Philips. 2017. “iFAS : Image Fidelity Assessment.” In Proceedings of the 6th International Workshop Computational Color Imaging, ed. Simone Bianco, Raimondo Schettini, Alain Tr{’e}meau, and Shoji Tominaga, 10213:83–94. Cham: Springer International Publishing.
APA
Ortiz Jaramillo, B., Platisa, L., & Philips, W. (2017). iFAS : image fidelity assessment. In S. Bianco, R. Schettini, A. Tr{’e}meau, & S. Tominaga (Eds.), Proceedings of the 6th International Workshop Computational Color Imaging (Vol. 10213, pp. 83–94). Presented at the 6th International Workshop Computational Color Imaging, Cham: Springer International Publishing.
Vancouver
1.
Ortiz Jaramillo B, Platisa L, Philips W. iFAS : image fidelity assessment. In: Bianco S, Schettini R, Tr{’e}meau A, Tominaga S, editors. Proceedings of the 6th International Workshop Computational Color Imaging. Cham: Springer International Publishing; 2017. p. 83–94.
MLA
Ortiz Jaramillo, Benhur, Ljiljana Platisa, and Wilfried Philips. “iFAS : Image Fidelity Assessment.” Proceedings of the 6th International Workshop Computational Color Imaging. Ed. Simone Bianco et al. Vol. 10213. Cham: Springer International Publishing, 2017. 83–94. Print.