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147596

Self-Organizing Map for Image Compression: A Study of Optimal Performance.

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

Image and video compression is becoming an increasing important area of investigation, with numerous applications to video conferencing, interactive education, home entertainment, and potential application to earth observation, medical imaging, digital libraries and many other areas. In this paper the Kohene's self-organizing feature map (KSOFM) neural network and a modified frequency, sensitive-competitive learning algorithm have been utilized with a great deal of success to overcome the problem of codebook design in vector quantization. A detailed investigation of the network parameters has been conducted to achieve the optimal performance in image compression. A set of fourteen color images obtained from the internet were used as training and test samples. The results have shown that the quality of the decompressed images, was compared to the originals visually and using the peak-signal-to-noise-ratio (PSNR) as a measure of quality.

DOI

10.21608/bfemu.1999.147596

Authors

First Name

H.

Last Name

Soliman

MiddleName

H.

Affiliation

Faculty of Engineering., EL-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

M.

Last Name

Awadalla

MiddleName

M.

Affiliation

Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

F.

Last Name

Abou Chadi

MiddleName

E. Z.

Affiliation

Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

24

Article Issue

2

Related Issue

21258

Issue Date

1999-06-01

Receive Date

1999-03-10

Publish Date

2021-06-01

Page Start

27

Page End

36

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 24_Issue 2_Pages 27-36.pdf

PDF . 292.1kB

Link

https://bfemu.journals.ekb.eg/article_147596.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=147596

Order

3

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

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-

Details

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Article

Created At

22 Jan 2023