ICA photographic encoding gear: Image bases towards IPEG

Yasuo Matsuyama; Hiroaki Kataoka; Naoto Katsumata; Keita Shimoda

doi:10.1109/IJCNN.2004.1380946

ICA photographic encoding gear: Image bases towards IPEG

Yasuo Matsuyama^*, Hiroaki Kataoka, Naoto Katsumata, Keita Shimoda

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Independent component analysis (ICA) is applied to image coding. There, new design methods for ICA bases are presented. The new feature of this learning algorithm includes the weak guidance, or decreasing supervisory information. The weak guidance reduces the permutation indeterminacy which is unavoidable in usual ICA algorithms. In view of the image compression, this effect corresponds to the generation of image bases honoring the space frequency's neighborhood and 2-D ordering. Following the presentation of this learning algorithm, experiments are performed to obtain serviceable ICA bases. Finally, image compression and restoration are demonstrated to show the eligibility for "image. ipeg." Other applications such as image retrieval are also commented.

Original language	English
Title of host publication	IEEE International Conference on Neural Networks - Conference Proceedings
Pages	2129-2134
Number of pages	6
Volume	3
DOIs	https://doi.org/10.1109/IJCNN.2004.1380946
Publication status	Published - 2004
Event	2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest Duration: 2004 Jul 25 → 2004 Jul 29

Other

Other	2004 IEEE International Joint Conference on Neural Networks - Proceedings
City	Budapest
Period	04/7/25 → 04/7/29

ASJC Scopus subject areas

Software

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10.1109/IJCNN.2004.1380946

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@inproceedings{07cafef0fb0c476fbda9584da2033bc2,

title = "ICA photographic encoding gear: Image bases towards IPEG",

abstract = "Independent component analysis (ICA) is applied to image coding. There, new design methods for ICA bases are presented. The new feature of this learning algorithm includes the weak guidance, or decreasing supervisory information. The weak guidance reduces the permutation indeterminacy which is unavoidable in usual ICA algorithms. In view of the image compression, this effect corresponds to the generation of image bases honoring the space frequency's neighborhood and 2-D ordering. Following the presentation of this learning algorithm, experiments are performed to obtain serviceable ICA bases. Finally, image compression and restoration are demonstrated to show the eligibility for {"}image. ipeg.{"} Other applications such as image retrieval are also commented.",

author = "Yasuo Matsuyama and Hiroaki Kataoka and Naoto Katsumata and Keita Shimoda",

year = "2004",

doi = "10.1109/IJCNN.2004.1380946",

language = "English",

isbn = "0780383591",

volume = "3",

pages = "2129--2134",

booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings",

note = "2004 IEEE International Joint Conference on Neural Networks - Proceedings ; Conference date: 25-07-2004 Through 29-07-2004",

}

TY - GEN

T1 - ICA photographic encoding gear

T2 - 2004 IEEE International Joint Conference on Neural Networks - Proceedings

AU - Matsuyama, Yasuo

AU - Kataoka, Hiroaki

AU - Katsumata, Naoto

AU - Shimoda, Keita

PY - 2004

Y1 - 2004

N2 - Independent component analysis (ICA) is applied to image coding. There, new design methods for ICA bases are presented. The new feature of this learning algorithm includes the weak guidance, or decreasing supervisory information. The weak guidance reduces the permutation indeterminacy which is unavoidable in usual ICA algorithms. In view of the image compression, this effect corresponds to the generation of image bases honoring the space frequency's neighborhood and 2-D ordering. Following the presentation of this learning algorithm, experiments are performed to obtain serviceable ICA bases. Finally, image compression and restoration are demonstrated to show the eligibility for "image. ipeg." Other applications such as image retrieval are also commented.

AB - Independent component analysis (ICA) is applied to image coding. There, new design methods for ICA bases are presented. The new feature of this learning algorithm includes the weak guidance, or decreasing supervisory information. The weak guidance reduces the permutation indeterminacy which is unavoidable in usual ICA algorithms. In view of the image compression, this effect corresponds to the generation of image bases honoring the space frequency's neighborhood and 2-D ordering. Following the presentation of this learning algorithm, experiments are performed to obtain serviceable ICA bases. Finally, image compression and restoration are demonstrated to show the eligibility for "image. ipeg." Other applications such as image retrieval are also commented.

UR - http://www.scopus.com/inward/record.url?scp=10844294196&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=10844294196&partnerID=8YFLogxK

U2 - 10.1109/IJCNN.2004.1380946

DO - 10.1109/IJCNN.2004.1380946

M3 - Conference contribution

AN - SCOPUS:10844294196

SN - 0780383591

VL - 3

SP - 2129

EP - 2134

BT - IEEE International Conference on Neural Networks - Conference Proceedings

Y2 - 25 July 2004 through 29 July 2004

ER -

ICA photographic encoding gear: Image bases towards IPEG

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