Evaluation of the perceptual performance of fuzzy image quality measures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4251 LNAI - I, Issue , 2006, Pages 623-630

  Vansteenkiste, Ewout ^a   Van Der Weken, Dietrich ^a   Philips, Wilfried ^a   Kerre, Etienne ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; DATA REDUCTION; FUZZY SETS; IMAGE PROCESSING; KNOWLEDGE BASED SYSTEMS;

CORRELATION COEFFICIENT; IMAGE DISTORTIONS; MULTI-DIMENSIONAL SCALING (MDS);

IMAGE QUALITY;

EID: 33750696937     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11892960_75     Document Type: Conference Paper

References (15)

1. Chen S.M., Yeh M.S. & Hsiao P.Y., "A comparison of similarity measures of fuzzy values", in: Fuzzy Sets and Systems, vol. 72, 1995, pp. 79-89.
2. Dabov K., Foi A., Katkovnik V., &: Egiazarian K., "Image denoising with block-matching and 3D filtering", To appear in Image Processing: Algorithms and Systems V, 6064A-30, IST/SPIE Electronic Imaging, 2006, San Jose, CA., 2006.
3. Escalante-Ramirez B., Martens J.B. & de Ridder H., "Multidimensional characterization of the perceptual quality of noise-reduced computed tomography images", J. Visual Comm. Image Representation 6, December 1995, pp. 317-334.
4. Foi A., Katkovnik V. & Egiazarian K., "Pointwise Shape-Adaptive DOT as an overcomplete denoising tool", Proc. Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2005.
5. Guerrero-Colon J.A. & Portilla J, "Two-Level Adaptive Denoising Using Gaussian Scale Mixtures in Overcomplete Oriented Pyramids", Proceedings of IEEE ICIP conference, Genova, Italy, Sept 2005, pp 105-108.
6. Kayagaddem V. &: Martens J.B., "Perceptual characterization of images degraded by blur and noise: experiments", Journal of Opt. Soc. Amer. A 13, June 1996, pp. 1178-1188.
7. Pizurica A., Philips W., Lemahieu I. & Acheroy M., "A Joint Inter- and Intrascale Statistical Model for Bayesian Wavelet Based Image Denoising", IEEE Transactions on Image Processing, vol. 11, no. 5, 2002, pp. 545-557.
8. Sendur L. & Selesnick I.W., "Bivariate Shrinkage With Local Variance Estimation", IEEE Signal Processing Letters, vol. 9, no. 12, 2002, pp. 438-441.
9. Sendur L. & Selesnick I.W., "Bivariate Shrinkage Functions for Wavelet-Based Denoising Exploiting Interscal Dependency", IEEE Trans. on Signal Processing, vol 50, no. 11, 2002, pp. 2744-2756.
10. Van der Weken D., Nachtegael M. & Kerre E.E., "The applicability of similarity measures in image processing", Intellectual Systems, vol. 6 (1-4), 2001, pp. 231-248 (in Russian).
11. Van der Weken D., Nachtegael M. & Kerre E.E., "An overview of similarity measures for images", Proceedings of ICASSP'2002 (IEEE International Conference on Acoustics, Speech and Signal Processing), Orlando, United States, 2002, pp. 3317-3320.
12. Van der Weken D., Nachtegael M. & Kerre E.E., "Using Similarity Measures for Histogram Comparison", Lecture Notes in Artificial Intelligence, vol. 2715, 2003, pp. 396-403.
13. Van der Weken D., Nachtegael M. & Kerre E.E., "Using Similarity Measures and Homogeneity for the Comparison of Images", Image and Vision Computing, vol. 22 (9), 2004, pp. 695-702.
14. Van der Weken D. "The use and the construction of similarity measures in image processing", PhD thesis, Ghent University, 2004 (in Dutch).
15. Van De Ville D., Nachtegael M., Van der Weken D., Kerre E.E., Philips W., Lemahieu I., "Noise Reduction by Fuzzy Image Filtering", IEEE Transactions on Fuzzy Systems, vol. 11, no. 4, 2003, pp. 429-436.