Perceived image quality measurement of state-of-the-art noise reduction schemes

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

Volumn 4179 LNCS, Issue , 2006, Pages 114-126

  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

ARTIFICIAL INTELLIGENCE; IMAGING TECHNIQUES; NOISE ABATEMENT; VECTORS;

DENOIZED IMAGES; HUMAN VISUAL PERCEPTION; MULTIDIMENSIONAL SCALING (MDS) TECHNIQUES;

IMAGE QUALITY;

EID: 33750249897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11864349_11     Document Type: Conference Paper

References (14)

1. 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.
2. Donoho D.L. & Johnstone I.M., "Ideal spatial adaptation by wavelet shrinkage", Biometrika, vol. 81, no. 3, 1994, pp. 425-455.
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, vol. 6, December 1995, pp. 317-334.
4. Foi, A., Dabov K., Katkovnik V., & Egiazarian K., "Shape-Adaptive DCT for Denoising and Image Reconstruction", Proc. SPIE Electronic Imaging 2006, Image Processing: Algorithms and Systems V, 6064A-18, San Jose, 2006.
5. Guerrero-Colon J.A. & Portilla J., "Two-Level Adaptive Denoising Using Gaussian Scale Mixtures in Overcomplete Oriented Pyramids", Proceedings of IEEE ICIP conference, Genoa, 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. Martens J.-B., "Image Technology Design", Springer, 2003, Chapter 5.
8. Pizurica A. & Philips W., "Estimating probability of presence of a signal of interest in multiresolution single- and multiband image denoising", "A Joint Inter- and Intrascale Statistical Model for Bayesian Wavelet Based Image Denoising", IEEE Transactions on Image Processing, in press.
9. Portilla J., Strela V, Wainwright M & Simoncelli E.P., "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain", IEEE Transactions on Image Processing, vol. 12, no. 11, 2003, pp. 1338-1351.
10. Rooms F., "Nonlinear Methods in Image Restoration Applied to Confocal Microscopy", Ph.D thesis, 2005, Ghent University.
11. Sendur L. & Selesnick I.W., "Bivariate Shrinkage With Local Variance Estimation", IEEE Signal Processing Letters, vol. 9, no. 12, 2002, pp. 438-441.
12. Sendur L. & Selesnick I.W., "Bivariate Shrinkage Functions for Wavelet-Based Denoising Exploiting Interscale Dependency", IEEE Trans. on Signal Processing, vol 50, no. 11, 2002, pp. 2744-2756.
13. 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.
14. 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.