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A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
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“These synthesis methods provide a powerful and efficient means of testing a model, and have the added benefit that the resulting images suggest improvements that might be made to the model [11].”
From Multiscale structural similarity for image quality assessment (2004) · cites this paper as [11]
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Metadata
- Authors
- Portilla, J., & Simoncelli, E. P.
- Affiliations
- Courant Institute of Mathematical Sciences (US)
- Corresponding author
- Portilla, Javier
- Venue
- International Journal of Computer Vision
- Published
- 2000-10
- Volume
- 40
- Issue
- 1
- Pages
- 49-70
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2127006916
- Cited by
- 1,806
- References
- 68
- Citations by year
- 2026: 55 · 2025: 75 · 2024: 70 · 2023: 67 · 2022: 81 · 2021: 92 · 2020: 91 · 2019: 94 · 2018: 101 · 2017: 101 · 2016: 100 · 2015: 86 · 2014: 83 · 2013: 70 · 2012: 61
- FWCI
- 39.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Keywords
- texture modeling, texture synthesis, complex wavelet transform, projection onto convex sets, natural textures
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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