Using ANN for High Speed Iterated Function System Image Compression

Alex W. H. LEE; L. M. CHENG

doi:10.1109/SIPNN.1994.344939

Using ANN for High Speed Iterated Function System Image Compression

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Artificial neural networks (ANNs) are widely used on many research fields because of their high speed for execution and low cost for hardware implementation. In the paper, ANNs are used in fractal image compression because most of the well-known methodologies in fractal transformation are rather computational intensive. One of them is the iterated function system (IFS). This algorithm consists of few parameters, the IFS codes, which can be used to generate the IFS attractors but also consume most of the time extracting suitable attractors to represent the target image. In order to solve this problem, ANNs are investigated as a practical alternative approach. © 1994 IEEE.

Original language	English
Title of host publication	Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks
Publisher	IEEE
Pages	172-175
Volume	1
ISBN (Print)	078031865X, 9780780318656
DOIs	https://doi.org/10.1109/SIPNN.1994.344939
Publication status	Published - Apr 1994
Event	1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994) - Hong Kong, China Duration: 13 Apr 1994 → 16 Apr 1994

Conference

Conference	1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994)
Place	China
City	Hong Kong
Period	13/04/94 → 16/04/94

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@inproceedings{03bffb6d5a8542b183c27d3b57abc50e,

title = "Using ANN for High Speed Iterated Function System Image Compression",

abstract = "Artificial neural networks (ANNs) are widely used on many research fields because of their high speed for execution and low cost for hardware implementation. In the paper, ANNs are used in fractal image compression because most of the well-known methodologies in fractal transformation are rather computational intensive. One of them is the iterated function system (IFS). This algorithm consists of few parameters, the IFS codes, which can be used to generate the IFS attractors but also consume most of the time extracting suitable attractors to represent the target image. In order to solve this problem, ANNs are investigated as a practical alternative approach. {\textcopyright} 1994 IEEE.",

author = "LEE, {Alex W. H.} and CHENG, {L. M.}",

year = "1994",

month = apr,

doi = "10.1109/SIPNN.1994.344939",

language = "English",

isbn = "078031865X",

volume = "1",

pages = "172--175",

booktitle = "Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks",

publisher = "IEEE",

address = "United States",

note = "1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994) ; Conference date: 13-04-1994 Through 16-04-1994",

}

LEE, AWH & CHENG, LM 1994, Using ANN for High Speed Iterated Function System Image Compression. in Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks. vol. 1, 344939, IEEE, pp. 172-175, 1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994), Hong Kong, China, 13/04/94. https://doi.org/10.1109/SIPNN.1994.344939

Using ANN for High Speed Iterated Function System Image Compression. / LEE, Alex W. H.; CHENG, L. M.
Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks. Vol. 1 IEEE, 1994. p. 172-175 344939.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Using ANN for High Speed Iterated Function System Image Compression

AU - LEE, Alex W. H.

AU - CHENG, L. M.

PY - 1994/4

Y1 - 1994/4

N2 - Artificial neural networks (ANNs) are widely used on many research fields because of their high speed for execution and low cost for hardware implementation. In the paper, ANNs are used in fractal image compression because most of the well-known methodologies in fractal transformation are rather computational intensive. One of them is the iterated function system (IFS). This algorithm consists of few parameters, the IFS codes, which can be used to generate the IFS attractors but also consume most of the time extracting suitable attractors to represent the target image. In order to solve this problem, ANNs are investigated as a practical alternative approach. © 1994 IEEE.

AB - Artificial neural networks (ANNs) are widely used on many research fields because of their high speed for execution and low cost for hardware implementation. In the paper, ANNs are used in fractal image compression because most of the well-known methodologies in fractal transformation are rather computational intensive. One of them is the iterated function system (IFS). This algorithm consists of few parameters, the IFS codes, which can be used to generate the IFS attractors but also consume most of the time extracting suitable attractors to represent the target image. In order to solve this problem, ANNs are investigated as a practical alternative approach. © 1994 IEEE.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85064709878&origin=recordpage

U2 - 10.1109/SIPNN.1994.344939

DO - 10.1109/SIPNN.1994.344939

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 078031865X

SN - 9780780318656

VL - 1

SP - 172

EP - 175

BT - Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks

PB - IEEE

T2 - 1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994)

Y2 - 13 April 1994 through 16 April 1994

ER -

Using ANN for High Speed Iterated Function System Image Compression

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