An Enhanced Wavelet based Image Compression Technique

Teena Hadpawat; Naveen Choudhary

An Enhanced Wavelet based Image Compression Technique

Teena Hadpawat * §

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Naveen Choudhary

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§ College Of Technology and Engineering, India

An Enhanced Wavelet based Image Compression Technique

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Abstract

With the fast expansion of multimedia technologies, the compression of multimedia data has become an important aspect. Image compression is important for efficient storage and transmission of images. The limitation in bandwidth of wireless channels has made data compression a necessity. Wireless channels are bandwidth limited and due to this constraint of wireless channels, progressive image transmission has gained much popularity and acceptance. The Embedded Zerotree Wavelet algorithm (EZW) is based on progressive encoding, in which bits in the bit stream are generated in order of importance. The EZW algorithm, code all the frequency band of wavelet coefficients as the same importance without considering the amount of information in each frequency band. This paper presents an enhanced wavelet based approach to overcome the limitation of the Embedded Zerotree Wavelet (EZW) algorithm. This method divides the image into some sub-blocks.

References

21 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Teena Hadpawat, Naveen Choudhary. 2015. "An Enhanced Wavelet based Image Compression Technique". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H2).

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GJCST Volume 15 Issue H2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-H Classification I.3.3

Submission ReceivedDecember 7, 2014
Peer Review Double Blind
Handling Editor
Accepted January 2, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

July 27, 2015

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Teena Hadpawat, Naveen Choudhary (PhD/Dr. count: 0)

View Count (all-time): 398

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Publish Date: 2015 01, Thu

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Total Views: 2.8K

Total Downloads: 118

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