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76677

Comparative Study of Wavelet Transform Based Fractal Image Compression

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Last updated: 25 Dec 2024

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Abstract

Fractal image compression has been studying during the last years for compressing images by using their self-similarity. The main advantages of fractal compression are, achieves a higher compression ratio and preserves the image resolution, but it lacks expensive computational cost searching the domain pool. To overcome this limitation and keeping better image quality, we propose a combination of a discrete wavelet transform and fractal coding to implement an encoder based on a flexible domain pool constructed from the neighborhoods of each range block.  A comparison between recent encoding algorithms and the proposed fractal image compression introduced.

DOI

10.21608/mjeer.2019.76677

Keywords

Fractal Image Compression, Discrete Wavelet Transform (DWT), Compression Ratio

Authors

First Name

Heba

Last Name

Abedellatif

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Affiliation

Electronics and Electrical Communications Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt

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First Name

Abdelrahman

Last Name

selim

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-

Affiliation

Electronics and Electrical Communications Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt

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First Name

Taha E.

Last Name

Taha

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-

Affiliation

Electronics and Electrical Communications Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt

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First Name

Ramadan

Last Name

El-Shanawany

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-

Affiliation

Physics and Engineering Mathematics Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt

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First Name

Osama F.

Last Name

Zahran

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-

Affiliation

Electronics and Electrical Communications Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt

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First Name

Fathi E.

Last Name

Abd El-Samie

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-

Affiliation

Electronics and Electrical Communications Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt

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Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2020-03-10

Publish Date

2019-12-01

Page Start

24

Page End

28

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_76677.html

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https://mjeer.journals.ekb.eg/service?article_code=76677

Order

26

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Comparative Study of Wavelet Transform Based Fractal Image Compression

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Article

Created At

22 Jan 2023