Author(s): R.Sumalatha | M.V.Subramanyam
Journal: International Journal of Computer Applications
ISSN 0975-8887
Volume: 5;
Issue: 12;
Start page: 1;
Date: 2010;
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Keywords: 3D SPIHT algorithm | Integer Wavelet Transform | Lossless compression | Medical Image Compression | Region Based Coding.
ABSTRACT
Region Based Coding (RBC) technique is significant for medicalimage compression and transmission. Lossless compressionschemes with secure transmission play a key role in telemedicineapplications that help in accurate diagnosis and research. In thispaper we propose a lossless compression approach based on 3Dinteger wavelet transform, 3D SPIHT algorithm of MR images.The use of lifting scheme allows to generate truly lossless integerto integer wavelet transforms. The main objective of this work isrejects the noisy background and reconstructs the image portionlosslessly. In this work different integer wavelet transforms willbe used to compress the 3D MR images. The performance of thesystem has been evaluated based on bits-per-pixel and peaksignal-to-noise ratio.
Journal: International Journal of Computer Applications
ISSN 0975-8887
Volume: 5;
Issue: 12;
Start page: 1;
Date: 2010;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: 3D SPIHT algorithm | Integer Wavelet Transform | Lossless compression | Medical Image Compression | Region Based Coding.
ABSTRACT
Region Based Coding (RBC) technique is significant for medicalimage compression and transmission. Lossless compressionschemes with secure transmission play a key role in telemedicineapplications that help in accurate diagnosis and research. In thispaper we propose a lossless compression approach based on 3Dinteger wavelet transform, 3D SPIHT algorithm of MR images.The use of lifting scheme allows to generate truly lossless integerto integer wavelet transforms. The main objective of this work isrejects the noisy background and reconstructs the image portionlosslessly. In this work different integer wavelet transforms willbe used to compress the 3D MR images. The performance of thesystem has been evaluated based on bits-per-pixel and peaksignal-to-noise ratio.
