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Adaptive principal components and image denoising
Abstract
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The new denoising technique performs well in terms of image visual fidelity, and in terms of PSNR values, the new technique compares very well against some of the most recently published denoising algorithms.
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Citations
Cited by
Image denoising by sparse 3-D transform-domain collaborative filtering
Dabov, K., Foi, A., Katkovnik, V., & Egiazarian, K. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.901238 · Cited by 9,283
Diffusion Weighted Image Denoising Using Overcomplete Local PCA
Manjón, J. V., Coupé, P., Concha, L., Buades, A., Collins, D. L., & Robles, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073021 · Cited by 417
Image Denoising Using the Higher Order Singular Value Decomposition
Rajwade, A., Rangarajan, A., & Banerjee, A. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.140 · Cited by 375
Poisson Noise Reduction with Non-local PCA
Salmon, J., Harmany, Z., Deledalle, C.-A., & Willett, R. (2014) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-013-0435-6 · Cited by 294
New methods for MRI denoising based on sparseness and self-similarity
Manjón, J. V., Coupé, P., Buades, A., Louis Collins, D., & Robles, M. (2012) · Medical Image Analysis · doi:10.1016/j.media.2011.04.003 · Cited by 271
Metadata
- Authors
- Muresan, D. D., & Parks, T. W.
- Venue
- Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
- Publisher
- IEEE
- Published
- 2004-06-21
- Volume
- 1
- Pages
- I-101-4
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W1522271611
- Cited by
- 235
- References
- 0
- FWCI
- 4.26
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Adaptive principal components and image denoising. https://app.cochat.ai/papers/10.1109/icip.2003.1246908
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- Muresan, D. D., & Parks, T. W. (2004). Adaptive principal components and image denoising. Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429). https://doi.org/10.1109/icip.2003.1246908
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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.
