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Quantifying image distortion based on Gabor filter bank and multiple regression analysis

Benhur Ortiz Jaramillo UGent, Julio Cesar Garcia Alvarez, Hartmut Führ, Sergio Alejandro Orjuela Vargas UGent, German Castellanos Dominguez and Wilfried Philips UGent (2012) Proceedings of SPIE, the International Society for Optical Engineering. 8293.
abstract
Image quality assessment is indispensable for image-based applications. The approaches towards image quality assessment fall into two main categories: subjective and objective methods. Subjective assessment has been widely used. However, careful subjective assessments are experimentally difficult and lengthy, and the results obtained may vary depending on the test conditions. On the other hand, objective image quality assessment would not only alleviate the difficulties described above but would also help to expand the application field. Therefore, several works have been developed for quantifying the distortion presented on a image achieving goodness of fit between subjective and objective scores up to 92%. Nevertheless, current methodologies are designed assuming that the nature of the distortion is known. Generally, this is a limiting assumption for practical applications, since in a majority of cases the distortions in the image are unknown. Therefore, we believe that the current methods of image quality assessment should be adapted in order to identify and quantify the distortion of images at the same time. That combination can improve processes such as enhancement, restoration, compression, transmission, among others. We present an approach based on the power of the experimental design and the joint localization of the Gabor filters for studying the influence of the spatial/frequencies on image quality assessment. Therefore, we achieve a correct identification and quantification of the distortion affecting images. This method provides accurate scores and differentiability between distortions.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
Gabor filter bank, Image quality assessment, multiple linear regression
in
Proceedings of SPIE, the International Society for Optical Engineering
Proc. SPIE Int. Soc. Opt. Eng.
editor
Frans Gaykema and Peter D Burns
volume
8293
issue title
Image quality and system performance IX
article number
82930E
pages
10 pages
publisher
SPIE, the International Society for Optical Engineering
place of publication
Bellingham, WA, USA
conference name
Image quality and system performance IX
conference location
Burlingame, CA, USA
conference start
2012-01-24
conference end
2012-01-26
Web of Science type
Proceedings Paper
Web of Science id
000300180600012
ISSN
0277-786X
ISBN
9780819489401
DOI
10.1117/12.912074
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2015964
handle
http://hdl.handle.net/1854/LU-2015964
date created
2012-02-02 12:14:15
date last changed
2017-01-02 09:53:10
@inproceedings{2015964,
  abstract     = {Image quality assessment is indispensable for image-based applications. The approaches towards image quality assessment fall into two main categories: subjective and objective methods. Subjective assessment has been widely used. However, careful subjective assessments are experimentally difficult and lengthy, and the results obtained may vary depending on the test conditions. On the other hand, objective image quality assessment would not only alleviate the difficulties described above but would also help to expand the application field. Therefore, several works have been developed for quantifying the distortion presented on a image achieving goodness of fit between subjective and objective scores up to 92\%. Nevertheless, current methodologies are designed assuming that the nature of the distortion is known. Generally, this is a limiting assumption for practical applications, since in a majority of cases the distortions in the image are unknown. Therefore, we believe that the current methods of image quality assessment should be adapted in order to identify and quantify the distortion of images at the same time. That combination can improve processes such as enhancement, restoration, compression, transmission, among others. We present an approach based on the power of the experimental design and the joint localization of the Gabor filters for studying the influence of the spatial/frequencies on image quality assessment. Therefore, we achieve a correct identification and quantification of the distortion affecting images. This method provides accurate scores and differentiability between distortions.},
  articleno    = {82930E},
  author       = {Ortiz Jaramillo, Benhur and Garcia Alvarez, Julio Cesar  and F{\"u}hr, Hartmut and Orjuela Vargas, Sergio Alejandro and Castellanos Dominguez, German  and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Gaykema, Frans and Burns, Peter D},
  isbn         = {9780819489401},
  issn         = {0277-786X},
  keyword      = {Gabor filter bank,Image quality assessment,multiple linear regression},
  language     = {eng},
  location     = {Burlingame, CA, USA},
  pages        = {10},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Quantifying image distortion based on Gabor filter bank and multiple regression analysis},
  url          = {http://dx.doi.org/10.1117/12.912074},
  volume       = {8293},
  year         = {2012},
}

Chicago
Ortiz Jaramillo, Benhur, Julio Cesar Garcia Alvarez, Hartmut Führ, Sergio Alejandro Orjuela Vargas, German Castellanos Dominguez, and Wilfried Philips. 2012. “Quantifying Image Distortion Based on Gabor Filter Bank and Multiple Regression Analysis.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. Frans Gaykema and Peter D Burns. Vol. 8293. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Ortiz Jaramillo, B., Garcia Alvarez, J. C., Führ, H., Orjuela Vargas, S. A., Castellanos Dominguez, G., & Philips, W. (2012). Quantifying image distortion based on Gabor filter bank and multiple regression analysis. In F. Gaykema & P. D. Burns (Eds.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 8293). Presented at the Image quality and system performance IX, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Ortiz Jaramillo B, Garcia Alvarez JC, Führ H, Orjuela Vargas SA, Castellanos Dominguez G, Philips W. Quantifying image distortion based on Gabor filter bank and multiple regression analysis. In: Gaykema F, Burns PD, editors. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2012.
MLA
Ortiz Jaramillo, Benhur, Julio Cesar Garcia Alvarez, Hartmut Führ, et al. “Quantifying Image Distortion Based on Gabor Filter Bank and Multiple Regression Analysis.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. Frans Gaykema & Peter D Burns. Vol. 8293. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2012. Print.