Patient video compression using 3-D block transforms for telemedicine applications

This paper describes compression of patient videos using 3-D block transforms, namely discrete cosine, Hartley and Fourier. The transforms are applied on video image blocks of sizes 8x8xM where M represents the number of temporal frames considered in the transform. The resultant transform coefficien...

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Main Authors: Sriraam, N, Shyamsunder, , R, Eswaran, , C
Format: Conference or Workshop Item
Published: 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/2107/
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author Sriraam, N
Shyamsunder, , R
Eswaran, , C
author_facet Sriraam, N
Shyamsunder, , R
Eswaran, , C
author_sort Sriraam, N
building MMU Institutional Repository
collection Online Access
description This paper describes compression of patient videos using 3-D block transforms, namely discrete cosine, Hartley and Fourier. The transforms are applied on video image blocks of sizes 8x8xM where M represents the number of temporal frames considered in the transform. The resultant transform coefficients are quantized and then encoded using a combination of run length and Huffman coding schemes to achieve maximum compression. The performances of the three transforms are evaluated in terms of peak signal to noise ratio and bit rate. It is found from the experimental results, that the 3-D discrete cosine transform gives the best result.
first_indexed 2025-11-14T18:05:06Z
format Conference or Workshop Item
id mmu-2107
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:05:06Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling mmu-21072011-08-11T00:51:22Z http://shdl.mmu.edu.my/2107/ Patient video compression using 3-D block transforms for telemedicine applications Sriraam, N Shyamsunder, , R Eswaran, , C QA75.5-76.95 Electronic computers. Computer science This paper describes compression of patient videos using 3-D block transforms, namely discrete cosine, Hartley and Fourier. The transforms are applied on video image blocks of sizes 8x8xM where M represents the number of temporal frames considered in the transform. The resultant transform coefficients are quantized and then encoded using a combination of run length and Huffman coding schemes to achieve maximum compression. The performances of the three transforms are evaluated in terms of peak signal to noise ratio and bit rate. It is found from the experimental results, that the 3-D discrete cosine transform gives the best result. 2006 Conference or Workshop Item NonPeerReviewed Sriraam, N and Shyamsunder, , R and Eswaran, , C (2006) Patient video compression using 3-D block transforms for telemedicine applications. In: 17th IASTED International Conference on Modelling and Simulation.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Sriraam, N
Shyamsunder, , R
Eswaran, , C
Patient video compression using 3-D block transforms for telemedicine applications
title Patient video compression using 3-D block transforms for telemedicine applications
title_full Patient video compression using 3-D block transforms for telemedicine applications
title_fullStr Patient video compression using 3-D block transforms for telemedicine applications
title_full_unstemmed Patient video compression using 3-D block transforms for telemedicine applications
title_short Patient video compression using 3-D block transforms for telemedicine applications
title_sort patient video compression using 3-d block transforms for telemedicine applications
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2107/