Kernel regression for image processing and reconstruction.
Publication
, Journal Article
Takeda, H; Farsiu, S; Milanfar, P
Published in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
February 2007
In this paper, we make contact with the field of nonparametric statistics and present a development and generalization of tools and results for use in image processing and reconstruction. In particular, we adapt and expand kernel regression ideas for use in image denoising, upscaling, interpolation, fusion, and more. Furthermore, we establish key relationships with some popular existing methods and show how several of these algorithms, including the recently popularized bilateral filter, are special cases of the proposed framework. The resulting algorithms and analyses are amply illustrated with practical examples.
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Published In
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DOI
EISSN
1941-0042
ISSN
1057-7149
Publication Date
February 2007
Volume
16
Issue
2
Start / End Page
349 / 366
Related Subject Headings
- Signal Processing, Computer-Assisted
- Regression Analysis
- Information Storage and Retrieval
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Artificial Intelligence & Image Processing
- Artificial Intelligence
- Algorithms
- 4607 Graphics, augmented reality and games
- 4603 Computer vision and multimedia computation
Citation
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ICMJE
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Takeda, H., Farsiu, S., & Milanfar, P. (2007). Kernel regression for image processing and reconstruction. IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, 16(2), 349–366. https://doi.org/10.1109/tip.2006.888330
Takeda, Hiroyuki, Sina Farsiu, and Peyman Milanfar. “Kernel regression for image processing and reconstruction.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society 16, no. 2 (February 2007): 349–66. https://doi.org/10.1109/tip.2006.888330.
Takeda H, Farsiu S, Milanfar P. Kernel regression for image processing and reconstruction. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2007 Feb;16(2):349–66.
Takeda, Hiroyuki, et al. “Kernel regression for image processing and reconstruction.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, vol. 16, no. 2, Feb. 2007, pp. 349–66. Epmc, doi:10.1109/tip.2006.888330.
Takeda H, Farsiu S, Milanfar P. Kernel regression for image processing and reconstruction. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2007 Feb;16(2):349–366.
Published In
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DOI
EISSN
1941-0042
ISSN
1057-7149
Publication Date
February 2007
Volume
16
Issue
2
Start / End Page
349 / 366
Related Subject Headings
- Signal Processing, Computer-Assisted
- Regression Analysis
- Information Storage and Retrieval
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Artificial Intelligence & Image Processing
- Artificial Intelligence
- Algorithms
- 4607 Graphics, augmented reality and games
- 4603 Computer vision and multimedia computation