Contemporary Affirmation of SPIHT Improvements in Image Coding

Contemporary Affirmation of SPIHT Improvements in Image Coding

Ms. Trupti Ahir

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Dr. R.V.S. Satyanarayana

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Sri Venkateswara University

Contemporary Affirmation of SPIHT Improvements in Image Coding

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Abstract

Set partitioning in hierarchal trees (SPIHT) is actually a widely-used compression algorithm for wavelet altered images. On most algorithms developed, SPIHT algorithm from the time its introduction in 1996 for image compression has got lots of interest. Though SPIHT is considerably simpler and efficient than several present compression methods since it’s a completely inserted codec, provides good image quality, large PSNR, optimized for modern image transmission, efficient conjunction with error defense, form information on demand and hence element powerful error correction decreases from starting to finish but still it has some downsides that need to be taken away for its better use therefore since its development it has experienced many adjustments in its original model. This document presents a survey on several different improvements in SPIHT in certain fields as velocity, redundancy, quality, error resilience, sophistication, and compression ratio and memory requirement.

References

19 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. Trupti Ahir. 2014. \u201cContemporary Affirmation of SPIHT Improvements in Image Coding\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F9).

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GJCST Volume 13 Issue F9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

DWT Image Compression memory requirement SPIHT wavelet transforms

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

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February 3, 2014

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Ms. Trupti Ahir, Dr. R.V.S. Satyanarayana (PhD/Dr. count: 1)

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