An Efficient Lossless Medical Image Compression Using Hybrid Algorithm

C. Priya; T. Kesavamurthy; M. Uma Priya

doi:10.4028/www.scientific.net/AMR.984-985.1276

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 984-985An Efficient Lossless Medical Image Compression...

An Efficient Lossless Medical Image Compression Using Hybrid Algorithm

Abstract:

Recently many new algorithms for image compression based on wavelets have been developed.This paper gives a detailed explanation of SPIHT algorithm with the combination of Lempel Ziv Welch compression technique for image compression by MATLAB implementation. Set partitioning in Hierarchical trees (SPIHT) is one of the most efficient algorithm known today. Pyramid structures have been created by the SPIHT algorithm based on a wavelet decomposition of an image. Lempel Ziv Welch is a universal lossless data compression algorithm guarantees that the original information can be exactly reproduced from the compressed data.The proposed methods have better compression ratio, computational speed and good reconstruction quality of the image. To analysis the proposed lossless methods here, calculate the performance metrics as Compression ratio, Mean square error, Peak signal to Noise ratio. Key Words-LempelZivWelch (LZW),SPIHT,Wavelet

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Periodical:

Advanced Materials Research (Volumes 984-985)

Pages:

1276-1281

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.984-985.1276

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Online since:

July 2014

Authors:

C. Priya*, T. Kesavamurthy, M. Uma Priya

Keywords:

LempelZivWelch (LZW), SPIHT, Wavelet

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