Kernel Regression for Image Processing and Reconstruction
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,...
Uloženo v:
| Vydáno v: | IEEE transactions on image processing Ročník 16; číslo 2; s. 349 - 366 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY
IEEE
01.02.2007
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| ISSN: | 1057-7149, 1941-0042 |
| On-line přístup: | Získat plný text |
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| Abstract | 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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| AbstractList | 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 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.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. 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. |
| Author | Farsiu, S. Takeda, H. Milanfar, P. |
| Author_xml | – sequence: 1 givenname: H. surname: Takeda fullname: Takeda, H. organization: Electr. Eng. Dept., Univ. of California, Santa Cruz, CA – sequence: 2 givenname: S. surname: Farsiu fullname: Farsiu, S. organization: Electr. Eng. Dept., Univ. of California, Santa Cruz, CA – sequence: 3 givenname: P. surname: Milanfar fullname: Milanfar, P. organization: Electr. Eng. Dept., Univ. of California, Santa Cruz, CA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18441941$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/17269630$$D View this record in MEDLINE/PubMed |
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| CODEN | IIPRE4 |
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| Cites_doi | 10.1111/j.1467-9892.1992.tb00103.x 10.1109/ICCV.1998.710815 10.1109/83.661192 10.1214/ss/1177011586 10.1109/TIP.2003.818640 10.1007/978-1-4899-4493-1 10.1109/TIP.2004.834669 10.1109/TIP.2002.801126 10.1007/978-3-642-17146-8 10.1214/aos/1176325632 10.1109/83.902288 10.1109/TIP.2004.841203 10.1007/978-1-4899-3324-9 10.1214/aos/1176348377 10.1137/1109020 10.1109/79.799930 10.1007/978-3-642-97385-7 10.1016/0167-2789(92)90242-F 10.1002/9781118150658 10.1201/9781482273144 10.1049/cp:19950642 10.1109/TIP.2005.860336 10.1007/978-1-4612-6333-3 10.1214/aos/1176346710 10.1137/0609045 10.1109/CVPR.1993.341081 10.1017/CCOL0521382483 10.1109/83.869184 10.1214/aos/1176345986 10.1109/ICASSP.1993.319189 10.1155/ASP/2006/83268 10.1109/83.951537 10.1109/TIP.2006.877406 10.1109/ICIP.2001.958647 10.1006/jvci.2001.0487 |
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| Keywords | scaling Image processing irregularly sampled data spatially adaptive Noise reduction Superresolution nonlinear filter super-resolution Non linear filter local polynomial Algorithm nonparametric Image reconstruction Kernel method denoising fusion Kernel function Interpolation Bilateral filter Signal processing kernel regression Algorithm analysis Image denoising |
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| References | ref34 ref12 knutsson (ref5) 1993 ref37 feng (ref35) 2002 ref15 ref31 ref33 ref11 ref32 ref10 mardia (ref38) 1979 ref2 ref1 ref39 hardle (ref13) 2004 ref16 fan (ref30) 1996 ref18 pham (ref6) 2006 de boor (ref20) 1978 bergen (ref42) 1992 kay (ref29) 1993 ref24 ref23 ref26 schimek (ref17) 2000 ref41 ref22 gentle (ref19) 2004 ref43 mester (ref36) 1995 ref28 ref27 ref8 ref7 takeda (ref44) 2006 ref9 jayant (ref25) 1984 hardle (ref14) 1991 ref4 ref3 ref40 eubank (ref21) 1999 |
| References_xml | – ident: ref33 doi: 10.1111/j.1467-9892.1992.tb00103.x – year: 1996 ident: ref30 publication-title: Local Polynomial Modelling and Its Applications – ident: ref7 doi: 10.1109/ICCV.1998.710815 – year: 1984 ident: ref25 publication-title: Digital Coding of Waveforms Principles and Applications to Speech and Video – ident: ref26 doi: 10.1109/83.661192 – ident: ref31 doi: 10.1214/ss/1177011586 – start-page: 539 year: 2004 ident: ref19 publication-title: Handbook of Computational Statistics Concepts and Methods – year: 1979 ident: ref38 publication-title: Multivariate Analysis – ident: ref40 doi: 10.1109/TIP.2003.818640 – ident: ref3 doi: 10.1007/978-1-4899-4493-1 – ident: ref2 doi: 10.1109/TIP.2004.834669 – start-page: 237 year: 1992 ident: ref42 article-title: hierarchical model-based motion estimation publication-title: Proc Eur Conf Computer Vision – ident: ref8 doi: 10.1109/TIP.2002.801126 – year: 2004 ident: ref13 publication-title: Nonparametric and Semiparametric Models doi: 10.1007/978-3-642-17146-8 – ident: ref16 doi: 10.1214/aos/1176325632 – ident: ref43 doi: 10.1109/83.902288 – ident: ref23 doi: 10.1109/TIP.2004.841203 – ident: ref11 doi: 10.1007/978-1-4899-3324-9 – ident: ref32 doi: 10.1214/aos/1176348377 – ident: ref15 doi: 10.1137/1109020 – ident: ref18 doi: 10.1109/79.799930 – year: 1993 ident: ref29 publication-title: Fundamentals of Statistical Signal Processing-Estimation Theory – ident: ref22 doi: 10.1007/978-3-642-97385-7 – ident: ref28 doi: 10.1016/0167-2789(92)90242-F – year: 2000 ident: ref17 publication-title: Smooting and Regression-Approaches Computation and Application doi: 10.1002/9781118150658 – year: 1999 ident: ref21 publication-title: Nonparametric regression and spline smoothing doi: 10.1201/9781482273144 – start-page: 168 year: 1995 ident: ref36 article-title: robust displacement vector estimation including a statistical error analysis publication-title: Fifth International Conference on Image Processing and its Applications (Conf Publ No 410) doi: 10.1049/cp:19950642 – year: 1991 ident: ref14 publication-title: Smooting Technique With Implementation in S – ident: ref41 doi: 10.1109/TIP.2005.860336 – year: 1978 ident: ref20 publication-title: A practical Guide to Splines doi: 10.1007/978-1-4612-6333-3 – ident: ref24 doi: 10.1214/aos/1176346710 – ident: ref39 doi: 10.1137/0609045 – start-page: 515 year: 1993 ident: ref5 article-title: normalized and differential convolution: methods for interpolation and filtering of incomplete and uncertain data publication-title: Proc Computer Vision and Pattern Recognition doi: 10.1109/CVPR.1993.341081 – ident: ref12 doi: 10.1017/CCOL0521382483 – ident: ref27 doi: 10.1109/83.869184 – ident: ref34 doi: 10.1214/aos/1176345986 – ident: ref4 doi: 10.1109/ICASSP.1993.319189 – year: 2006 ident: ref6 article-title: robust fusion of irregularly sampled data using adaptive normalized convolution publication-title: EURASIP J Appl Signal Process doi: 10.1155/ASP/2006/83268 – ident: ref9 doi: 10.1109/83.951537 – year: 2006 ident: ref44 article-title: higher order bilateral filters and their properties publication-title: Proc SPIE Conf Computational Imaging – year: 2002 ident: ref35 article-title: multiscale principal components analysis for image local orientation estimation publication-title: 36th Asilomar Conf Signals Systems and Computers – ident: ref10 doi: 10.1109/TIP.2006.877406 – ident: ref37 doi: 10.1109/ICIP.2001.958647 – ident: ref1 doi: 10.1006/jvci.2001.0487 |
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| SubjectTerms | Algorithms Applied sciences Artificial Intelligence Bilateral filter Charge coupled devices Contact Costs denoising Detection, estimation, filtering, equalization, prediction Digital images Exact sciences and technology Filters fusion Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image reconstruction Information Storage and Retrieval - methods Information, signal and communications theory Interpolation irregularly sampled data Kernel kernel function kernel regression Kernels local polynomial Miscellaneous Noise reduction nonlinear filter nonparametric Reconstruction Regression Regression Analysis scaling Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal, noise Spatial resolution spatially adaptive super-resolution Telecommunications and information theory |
| Title | Kernel Regression for Image Processing and Reconstruction |
| URI | https://ieeexplore.ieee.org/document/4060955 https://www.ncbi.nlm.nih.gov/pubmed/17269630 https://www.proquest.com/docview/865030709 https://www.proquest.com/docview/68963530 https://www.proquest.com/docview/896195991 |
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