The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A filter bank for the directional decomposition of images: theory and design
Abstract
The authors introduce a directionally oriented 2-D filter bank with the property that the individual channels may be critically sampled without loss of information. The passband regions of the component filters are wedge-shaped and thus provide directional information. It is shown that these filter bank outputs may be maximally decimated to achieve a minimum sample representation in a way that permits the original signal to be exactly reconstructed. The authors discuss the theory for directional decomposition and reconstruction. In addition, implementation issues are addressed where realizations based on both recursive and nonrecursive filters are considered.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Use of the hough transformation to detect lines and curves in pictures
Duda, R. O., & Hart, P. E. (1972) · Communications of the ACM · doi:10.1145/361237.361242 · Cited by 6,633
Daugman, J. G. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.001160 · Cited by 3,219
Mathematical description of the responses of simple cortical cells*
Marĉelja, S. (1980) · Journal of the Optical Society of America · doi:10.1364/josa.70.001297 · Cited by 1,252
Woods, J., & O'Neil, S. (1986) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1986.1164962 · Cited by 1,016
Multidimensional digital signal processing
Dimolitsas, S. (1985) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1985.1164712 · Cited by 956
On the determination of functions from their integral values along certain manifolds
Radon, J. (1986) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1986.4307775 · Cited by 776
Second-generation image-coding techniques
Kunt, M., Ikonomopoulos, A., & Kocher, M. (1985) · Proceedings of the IEEE · doi:10.1109/proc.1985.13184 · Cited by 647
A theory of multirate filter banks
Vetterli, M. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1987.1165137 · Cited by 410
Orthogonal Pyramid Transforms For Image Coding.
Adelson, E. H., Simoncelli, E., & Hingorani, R. (1987) · SPIE Proceedings · doi:10.1117/12.976485 · Cited by 292
Relationship between spatial-frequency and orientation tuning of striate-cortex cells
Webster, M. A., & De Valois, R. L. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.001124 · Cited by 223
Cited by
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
Da Cunha, A. L., Zhou, J., & Do, M. N. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.877507 · Cited by 2,035
Infrared and visible image fusion methods and applications: A survey
Ma, J., Ma, Y., & Li, C. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.02.004 · Cited by 1,732
Sparse directional image representations using the discrete shearlet transform
Easley, G., Labate, D., & Lim, W.-Q. (2008) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2007.09.003 · Cited by 1,040
Multifocus image fusion using the nonsubsampled contourlet transform
Zhang, Q., & Guo, B.-L. (2009) · Signal Processing · doi:10.1016/j.sigpro.2009.01.012 · Cited by 683
Aquino, A., Gegúndez-Arias, M. E., & Marín, D. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2053042 · Cited by 516
Metadata
- Authors
- Bamberger, R. H., & Smith, M. J. T.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1992-04
- Volume
- 40
- Issue
- 4
- Pages
- 882-893
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2120041316
- Cited by
- 885
- References
- 19
- FWCI
- 14.84
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A filter bank for the directional decomposition of images: theory and design. https://app.cochat.ai/papers/10.1109/78.127960
- The paper
- Bamberger, R. H., & Smith, M. J. T. (1992). A filter bank for the directional decomposition of images: theory and design. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.127960
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.