Performance evaluation of 3-D transforms for medical image compression
In this paper, 3-D discrete Hartley, cosine and Fourier transforms are used for the compression of magnetic resonance images and x-ray angiograms. The performance results are then compared and evaluated. The transforms are applied on image blocks of sizes 8x8xM where M represents the number of slice...
| Main Authors: | , , |
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| Format: | Article |
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2005
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| Online Access: | http://shdl.mmu.edu.my/2409/ |
| _version_ | 1848790048128892928 |
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| author | Sunder, , R. Shyam Sriraam,, N Eswaran,, C. |
| author_facet | Sunder, , R. Shyam Sriraam,, N Eswaran,, C. |
| author_sort | Sunder, , R. Shyam |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In this paper, 3-D discrete Hartley, cosine and Fourier transforms are used for the compression of magnetic resonance images and x-ray angiograms. The performance results are then compared and evaluated. The transforms are applied on image blocks of sizes 8x8xM where M represents the number of slices. 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 transforms are evaluated in terms of peak signal to noise ratio and bit rate. It is found from the experimental results, that 3-D discrete Hartley transform yields the best results for magnetic resonance brain images whereas for x-ray angiograms the 3-D discrete cosine transform is found to be superior to the other two transforms. |
| first_indexed | 2025-11-14T18:06:25Z |
| format | Article |
| id | mmu-2409 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:06:25Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-24092011-08-22T02:58:04Z http://shdl.mmu.edu.my/2409/ Performance evaluation of 3-D transforms for medical image compression Sunder, , R. Shyam Sriraam,, N Eswaran,, C. QA75.5-76.95 Electronic computers. Computer science In this paper, 3-D discrete Hartley, cosine and Fourier transforms are used for the compression of magnetic resonance images and x-ray angiograms. The performance results are then compared and evaluated. The transforms are applied on image blocks of sizes 8x8xM where M represents the number of slices. 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 transforms are evaluated in terms of peak signal to noise ratio and bit rate. It is found from the experimental results, that 3-D discrete Hartley transform yields the best results for magnetic resonance brain images whereas for x-ray angiograms the 3-D discrete cosine transform is found to be superior to the other two transforms. 2005 Article NonPeerReviewed Sunder, , R. Shyam and Sriraam,, N and Eswaran,, C. (2005) Performance evaluation of 3-D transforms for medical image compression. 2005 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT 2005). pp. 358-363. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Sunder, , R. Shyam Sriraam,, N Eswaran,, C. Performance evaluation of 3-D transforms for medical image compression |
| title | Performance evaluation of 3-D transforms for medical image compression |
| title_full | Performance evaluation of 3-D transforms for medical image compression |
| title_fullStr | Performance evaluation of 3-D transforms for medical image compression |
| title_full_unstemmed | Performance evaluation of 3-D transforms for medical image compression |
| title_short | Performance evaluation of 3-D transforms for medical image compression |
| title_sort | performance evaluation of 3-d transforms for medical image compression |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2409/ |