Logarithmic high dimensional model representation in image processing

Burcu Tunga

doi:10.1063/1.4904687

Logarithmic high dimensional model representation in image processing

Burcu Tunga

Matematik Bölümü

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

1 Atıf (Scopus)

Özet

Logarithmic HDMR is an HDMR based method and it allows us to reconstruct an analytical structure for a given multivariate analytical function in terms of less variate components. In this study, we develop a method to model multivariate data through Logarithmic HDMR and we use this method to make an approximation to the given original image. That is, we deal with the reconstruction of an image by using Logarithmic HDMR philosophy and we reach very promising results.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014
Editörler	Seenith Sivasundaram
Yayınlayan	American Institute of Physics Inc.
Sayfalar	1120-1126
Sayfa sayısı	7
ISBN (Elektronik)	9780735412767
DOI'lar	https://doi.org/10.1063/1.4904687
Yayın durumu	Yayınlandı - 10 Ara 2014
Etkinlik	10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014 - Narvik, Norway Süre: 15 Tem 2014 → 18 Tem 2014

Yayın serisi

Adı	AIP Conference Proceedings
Hacim	1637
ISSN (Basılı)	0094-243X
ISSN (Elektronik)	1551-7616

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???event.eventtypes.event.conference???	10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014
Ülke/Bölge	Norway
Şehir	Narvik
Periyot	15/07/14 → 18/07/14

Bibliyografik not

Publisher Copyright:
© 2014 AIP Publishing LLC.

Belgeye Erişim

10.1063/1.4904687

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{6f7a60d34c29430d94a5d02ce6f76eb1,

title = "Logarithmic high dimensional model representation in image processing",

abstract = "Logarithmic HDMR is an HDMR based method and it allows us to reconstruct an analytical structure for a given multivariate analytical function in terms of less variate components. In this study, we develop a method to model multivariate data through Logarithmic HDMR and we use this method to make an approximation to the given original image. That is, we deal with the reconstruction of an image by using Logarithmic HDMR philosophy and we reach very promising results.",

keywords = "approximation, HDMR, image processing, multivariate analysis",

author = "Burcu Tunga",

note = "Publisher Copyright: {\textcopyright} 2014 AIP Publishing LLC.; 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014 ; Conference date: 15-07-2014 Through 18-07-2014",

year = "2014",

month = dec,

day = "10",

doi = "10.1063/1.4904687",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

pages = "1120--1126",

editor = "Seenith Sivasundaram",

booktitle = "10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014",

}

Tunga, B 2014, Logarithmic high dimensional model representation in image processing. in S Sivasundaram (ed.), 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014. AIP Conference Proceedings, hac. 1637, American Institute of Physics Inc., pp. 1120-1126, 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014, Narvik, Norway, 15/07/14. https://doi.org/10.1063/1.4904687

Logarithmic high dimensional model representation in image processing. / Tunga, Burcu.
10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014. ed. / Seenith Sivasundaram. American Institute of Physics Inc., 2014. p. 1120-1126 (AIP Conference Proceedings; Hac. 1637).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Logarithmic high dimensional model representation in image processing

AU - Tunga, Burcu

PY - 2014/12/10

Y1 - 2014/12/10

N2 - Logarithmic HDMR is an HDMR based method and it allows us to reconstruct an analytical structure for a given multivariate analytical function in terms of less variate components. In this study, we develop a method to model multivariate data through Logarithmic HDMR and we use this method to make an approximation to the given original image. That is, we deal with the reconstruction of an image by using Logarithmic HDMR philosophy and we reach very promising results.

AB - Logarithmic HDMR is an HDMR based method and it allows us to reconstruct an analytical structure for a given multivariate analytical function in terms of less variate components. In this study, we develop a method to model multivariate data through Logarithmic HDMR and we use this method to make an approximation to the given original image. That is, we deal with the reconstruction of an image by using Logarithmic HDMR philosophy and we reach very promising results.

KW - approximation

KW - HDMR

KW - image processing

KW - multivariate analysis

UR - https://www.scopus.com/pages/publications/85014883550

U2 - 10.1063/1.4904687

DO - 10.1063/1.4904687

M3 - Conference contribution

AN - SCOPUS:85014883550

T3 - AIP Conference Proceedings

SP - 1120

EP - 1126

BT - 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014

A2 - Sivasundaram, Seenith

PB - American Institute of Physics Inc.

T2 - 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014

Y2 - 15 July 2014 through 18 July 2014

ER -

Logarithmic high dimensional model representation in image processing

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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