Contemporary Affirmation of SPIHT Improvements in Image Coding

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CSTGV4THU6

Contemporary Affirmation of SPIHT Improvements in Image Coding

Ms. Trupti Ahir
Ms. Trupti Ahir Sri Venkateswara University
Dr. R.V.S. Satyanarayana
Dr. R.V.S. Satyanarayana
DOI

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.

Contemporary Affirmation of SPIHT Improvements in Image Coding

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.

Ms. Trupti Ahir
Ms. Trupti Ahir Sri Venkateswara University
Dr. R.V.S. Satyanarayana
Dr. R.V.S. Satyanarayana

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Ms. Trupti Ahir. 2014. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F9): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 13 Issue F9
Pg. 27- 34
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Contemporary Affirmation of SPIHT Improvements in Image Coding

Ms. Trupti Ahir
Ms. Trupti Ahir Sri Venkateswara University
Dr. R.V.S. Satyanarayana
Dr. R.V.S. Satyanarayana

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