MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION
Medical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage. This paper presents an effective algorithm to compress and to reconstruct medical images. The proposed algorithm...
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| Format: | Article |
| Language: | English |
| Published: |
ICT Academy of Tamil Nadu
2011-02-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/IJIVP_1_138_142.pdf |
| _version_ | 1798045868989874176 |
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| author | K. Vidhya S. Shenbagadevi |
| author_facet | K. Vidhya S. Shenbagadevi |
| author_sort | K. Vidhya |
| collection | DOAJ |
| description | Medical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage. This paper presents an effective algorithm to compress and to reconstruct medical images. The proposed algorithm first extracts edge information of medical images by using fuzzy edge detector. The images are decomposed using Cohen-Daubechies-Feauveau (CDF) wavelet. The hybrid technique utilizes the efficient wavelet based compression algorithms such as JPEG2000 and Set Partitioning In Hierarchical Trees (SPIHT). The wavelet coefficients in the approximation sub band are encoded using tier 1 part of JPEG2000. The wavelet coefficients in the detailed sub bands are encoded using SPIHT. Consistent quality images are produced by this method at a lower bit rate compared to other standard compression algorithms. Two main approaches to assess image quality are objective testing and subjective testing. The image quality is evaluated by objective quality measures. Objective measures correlate well with the perceived image quality for the proposed compression algorithm. |
| first_indexed | 2024-04-11T23:27:52Z |
| format | Article |
| id | doaj.art-affad433929c4232b0a937d4e66b59b7 |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-04-11T23:27:52Z |
| publishDate | 2011-02-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-affad433929c4232b0a937d4e66b59b72022-12-22T03:57:15ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022011-02-0113138142MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTIONK. Vidhya0S. Shenbagadevi1Department of Electrical & Communication Engineering, College of Engineering, Anna University, Chennai, IndiaDepartment of Electrical & Communication Engineering, College of Engineering, Anna University, Chennai, IndiaMedical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage. This paper presents an effective algorithm to compress and to reconstruct medical images. The proposed algorithm first extracts edge information of medical images by using fuzzy edge detector. The images are decomposed using Cohen-Daubechies-Feauveau (CDF) wavelet. The hybrid technique utilizes the efficient wavelet based compression algorithms such as JPEG2000 and Set Partitioning In Hierarchical Trees (SPIHT). The wavelet coefficients in the approximation sub band are encoded using tier 1 part of JPEG2000. The wavelet coefficients in the detailed sub bands are encoded using SPIHT. Consistent quality images are produced by this method at a lower bit rate compared to other standard compression algorithms. Two main approaches to assess image quality are objective testing and subjective testing. The image quality is evaluated by objective quality measures. Objective measures correlate well with the perceived image quality for the proposed compression algorithm.http://ictactjournals.in/paper/IJIVP_1_138_142.pdfImage CompressionMedical imagingJoint Photographic Experts Group (JPEG)JPEG2000Set Partioning in Hierarchical Trees (SPIHT)Discrete Wavelet Transform (DWT)Cohen-DaubechiesFeauveau biorthogonal wavelet (CDF)Edge Detector |
| spellingShingle | K. Vidhya S. Shenbagadevi MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION ICTACT Journal on Image and Video Processing Image Compression Medical imaging Joint Photographic Experts Group (JPEG) JPEG2000 Set Partioning in Hierarchical Trees (SPIHT) Discrete Wavelet Transform (DWT) Cohen-DaubechiesFeauveau biorthogonal wavelet (CDF) Edge Detector |
| title | MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION |
| title_full | MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION |
| title_fullStr | MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION |
| title_full_unstemmed | MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION |
| title_short | MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION |
| title_sort | medical image compression using hybrid coder with fuzzy edge detection |
| topic | Image Compression Medical imaging Joint Photographic Experts Group (JPEG) JPEG2000 Set Partioning in Hierarchical Trees (SPIHT) Discrete Wavelet Transform (DWT) Cohen-DaubechiesFeauveau biorthogonal wavelet (CDF) Edge Detector |
| url | http://ictactjournals.in/paper/IJIVP_1_138_142.pdf |
| work_keys_str_mv | AT kvidhya medicalimagecompressionusinghybridcoderwithfuzzyedgedetection AT sshenbagadevi medicalimagecompressionusinghybridcoderwithfuzzyedgedetection |