Improving Embedded Image Coding Using Zero Block - Quad Tree

Ms. Daggumati Rajani; Dr. S.China Venkateswarlu; V.Sridhar

Improving Embedded Image Coding Using Zero Block – Quad Tree

Ms. Daggumati Rajani * §

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Dr. S.China Venkateswarlu

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V.Sridhar

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§ VJIT/JNTUH

Improving Embedded Image Coding Using Zero Block – Quad Tree

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Abstract

The traditional multi-bitstream approach to the heterogeneity issue is very constrained and inefficient under multi bit rate applications. The multi bitstream coding techniques allow partial decoding at a various resolution and quality levels. Several scalable coding algorithms have been proposed in the international standards over the past decade, but these former methods can only accommodate relatively limited decoding properties. To achieve efficient coding during image coding the multi resolution compression technique is been used. To exploit the multi resolution effect of image, wavelet transformations are devolved. Wavelet transformation decompose the image coefficients into their fundamental resolution, but the transformed coefficients are observed to be non-integer values resulting in variable bit stream. This transformation result in constraint bit rate application with slower operation. To overcome stated limitation, hierarchical tree based coding were implemented which exploit the relation between the wavelet scale levels and generate the code stream for transmission.

References

13 Cites in Article

Reference Format

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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

Ms. Daggumati Rajani, Dr. S.China Venkateswarlu, V.Sridhar. 2012. "Improving Embedded Image Coding Using Zero Block – Quad Tree". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F14).

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GJCST Volume 12 Issue F14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

bit level scalable codecs ezbc image wavelet scale wavelet transformations

Classification

GJCST-F Classification I.4.2

Submission ReceivedFebruary 10, 2012
Peer Review Double Blind
Handling Editor
Accepted March 3, 2012
Published March 15, 2012

Version of record

v1.2

Issue date

November 24, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. S.China Venkateswarlu. Ms. Daggumati Rajani, V.Sridhar (PhD/Dr. count: 1)

View Count (all-time): 407

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Total Downloads (simulated): 326

Publish Date: 2012 03, Thu

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Total Views: 3.6K

Total Downloads: 326

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