An Enhanced Wavelet based Image Compression Technique

An Enhanced Wavelet based Image Compression Technique

Teena Hadpawat

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Naveen Choudhary

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1 College Of Technology and Engineering, India

GJCST Volume 15 Issue H2

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

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.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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Teena Hadpawat. 2015. \u201cAn Enhanced Wavelet based Image Compression Technique\u201d. 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
Pg. 1- 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-H Classification: I.3.3

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

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Issue date

July 27, 2015

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English

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Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

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

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Total Views: 8086

Total Downloads: 2047

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