Regularized kernel regression for image deblurring
Publication
, Journal Article
Takeda, H; Farsiu, S; Milanfar, P
Published in: Conference Record - Asilomar Conference on Signals, Systems and Computers
December 1, 2006
The framework of kernel regression [1], a non-parametric estimation method, has been widely used in different guises for solving a variety of image processing problems including denoising and interpolation [2]. In this paper, we extend the use of kernel regression for deblurring applications. Furthermore, we show that many of the popular image reconstruction techniques are special cases of the proposed framework. Simulation results confirm the effectiveness of our proposed methods.
Duke Scholars
Published In
Conference Record - Asilomar Conference on Signals, Systems and Computers
DOI
ISSN
1058-6393
Publication Date
December 1, 2006
Start / End Page
1914 / 1918
Citation
APA
Chicago
ICMJE
MLA
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Takeda, H., Farsiu, S., & Milanfar, P. (2006). Regularized kernel regression for image deblurring. Conference Record - Asilomar Conference on Signals, Systems and Computers, 1914–1918. https://doi.org/10.1109/ACSSC.2006.355096
Takeda, H., S. Farsiu, and P. Milanfar. “Regularized kernel regression for image deblurring.” Conference Record - Asilomar Conference on Signals, Systems and Computers, December 1, 2006, 1914–18. https://doi.org/10.1109/ACSSC.2006.355096.
Takeda H, Farsiu S, Milanfar P. Regularized kernel regression for image deblurring. Conference Record - Asilomar Conference on Signals, Systems and Computers. 2006 Dec 1;1914–8.
Takeda, H., et al. “Regularized kernel regression for image deblurring.” Conference Record - Asilomar Conference on Signals, Systems and Computers, Dec. 2006, pp. 1914–18. Scopus, doi:10.1109/ACSSC.2006.355096.
Takeda H, Farsiu S, Milanfar P. Regularized kernel regression for image deblurring. Conference Record - Asilomar Conference on Signals, Systems and Computers. 2006 Dec 1;1914–1918.
Published In
Conference Record - Asilomar Conference on Signals, Systems and Computers
DOI
ISSN
1058-6393
Publication Date
December 1, 2006
Start / End Page
1914 / 1918