Improving Embedded Image Coding Using Zero Block – Quad Tree

1
Ms. Daggumati Rajani
Ms. Daggumati Rajani
2
Dr. S.China Venkateswarlu. Ms. Daggumati Rajani
Dr. S.China Venkateswarlu. Ms. Daggumati Rajani
3
V.Sridhar
V.Sridhar
1 VJIT/JNTUH

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GJCST Volume 12 Issue F14

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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.

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.

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Not applicable for this article.

Ms. Daggumati Rajani. 2012. \u201cImproving Embedded Image Coding Using Zero Block – Quad Tree\u201d. 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
Pg. 15- 20
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

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November 24, 2012

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English

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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.

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Improving Embedded Image Coding Using Zero Block – Quad Tree

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

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