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Cited by 491

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Perceptual blur and ringing metrics: application to JPEG2000

Open access
Marziliano, Pina, Dufaux, Frederic, Winkler, Stefan, Ebrahimi, Touradj·2004·Signal Processing: Image Communication
DOI 10.1016/j.image.2003.08.003
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Research works printed but not linked: 12

  1. Carasso, 1999, Linear and nonlinear image deblurring, SIAM J. Numer. Anal., 36, 1659, 10.1137/S0036142997320413 · DOI
  2. Elder, 1998, Local scale control for edge detection and blur estimation, IEEE Trans. Pattern Anal. Mach. Intell., 20, 699, 10.1109/34.689301 · DOI · Paper page
  3. Kayargadde, 1996, Perceptual characterization of images degraded by blur and noise, J. Opt. Soc. Amer. A, 13, 1178, 10.1364/JOSAA.13.001178 · DOI
  4. Kundur, 1996, Blind image deconvolution, IEEE Signal Process. Mag., 13, 43, 10.1109/79.489268 · DOI · Paper page
  5. P. Marziliano, F. Dufaux, S. Winkler, T. Ebrahimi, A no-reference perceptual blur metric, in: Proceedings of the International Conference on Image Processing, Vol. 3, Rochester, NY, 2002, pp. 57–60. · DOI · Paper page
  6. Rabbani, 2002, An overview of the JPEG2000 still image compression standard, Signal Process., Image Commun., 17, 3, 10.1016/S0923-5965(01)00024-8 · DOI · Paper page
  7. H.R. Sheikh, Z. Wang, L. Cormack, A.C. Bovik, Blind quality assessment for JPEG2000 compressed images, in: Proceedings of the Asilomar Conference on Signals, Systems and Computers, Vol. 2, Pacific Grove, CA, 2002, pp. 1735–1739. · DOI
  8. S. Winkler, R. Campos, Video quality evaluation for Internet streaming applications, in: Proceedings of SPIE Human Vision and Electronic Imaging, Vol. 5007, Santa Clara, CA, 2003, pp. 104–115. · DOI
  9. S. Winkler, F. Dufaux, Video quality evaluation for mobile applications, in: Proceedings of SPIE Visual Communications and Image Processing, Vol. 5150, Lugano, Switzerland, 2003 pp. 593–603.
  10. S. Winkler, A. Sharma, D. McNally, Perceptual video quality and blockiness metrics for multimedia streaming applications, in: Proceedings of the International Symposium on Wireless Personal Multimedia Communications, Aalborg, Denmark, 2001, pp. 547–552.
  11. Yang, 2001, Maximum likelihood parameter estimation for image ringing-artifact removal, IEEE Trans. Circuits Systems Video Tech., 11, 963, 10.1109/76.937440 · DOI
  12. Yu, 2002, Vision-model-based impairment metric to evaluate blocking artifacts in digital video, Proc. IEEE, 90, 154, 10.1109/5.982412 · DOI

Cited by

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Metadata

Authors
Marziliano, P., Dufaux, F., Winkler, S., & Ebrahimi, T.
Venue
Signal Processing: Image Communication
Publisher
Elsevier BV
Published
2004-02
Volume
19
Issue
2
Pages
163-172
ISSN
0923-5965 (ISSN-L)
DOI
10.1016/j.image.2003.08.003
OpenAlex
W2114338738
Cited by
491
References
1
FWCI
10.56
Type
journal article
Language
en
Open access
bronze
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Perceptual blur and ringing metrics: application to JPEG2000. https://app.cochat.ai/papers/10.1016/j.image.2003.08.003
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Marziliano, P., Dufaux, F., Winkler, S., & Ebrahimi, T. (2004). Perceptual blur and ringing metrics: application to JPEG2000. Signal Processing: Image Communication. https://doi.org/10.1016/j.image.2003.08.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.