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Multiresolution sampling procedure for analysis and synthesis of texture images
Open accessAbstract
This paper outlines a technique for treating input texture images as probability density estimators from which new textures, with similar appearance and structural properties, can be sampled.In a two-phase process, the input texture is first analyzed by measuring the joint occurrence of texture discrimination features at multiple resolutions.In the second phase, a new texture is synthesized by sampling successive spatial frequency bands from the input texture, conditioned on the similar joint occurrence of features at lower spatial frequencies.Textures synthesized with this method more successfully capture the characteristics of input textures than do previous techniques.
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Cites
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Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
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Denton, E., Chintala, S., Szlam, A. D., & Fergus, R. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1506.05751 · Cited by 1,541
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Metadata
- Authors
- De Bonet, J. S.
- Venue
- Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97
- Publisher
- ACM Press
- Published
- 1997
- Pages
- 361-368
- OpenAlex
- W2042371054
- Cited by
- 570
- References
- 1
- FWCI
- 5.06
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- De Bonet, J. S. (1997). Multiresolution sampling procedure for analysis and synthesis of texture images. Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97. https://doi.org/10.1145/258734.258882
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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