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Cited by 316

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Wavelets for a vision

Mallat, S.·1996·Proceedings of the IEEE

Abstract

Early on, computer vision researchers have realized that multiscale transforms are important to analyze the information content of images. The wavelet theory gives a stable mathematical foundation to understand the properties of such multiscale algorithms. This tutorial describes major applications to multiresolution search, multiscale edge detection, and texture discrimination.

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Metadata

Authors
Mallat, S.
Venue
Proceedings of the IEEE
Published
1996-04
Volume
84
Issue
4
Pages
604-614
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2128848833
Cited by
316
References
31
FWCI
19.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wavelets for a vision. https://app.cochat.ai/papers/10.1109/5.488702
The paper
Mallat, S. (1996). Wavelets for a vision. Proceedings of the IEEE. https://doi.org/10.1109/5.488702

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.