MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS
There is a significant necessity to compress the medical images for the purposes of communication and storage. Most currently available compression techniques produce an extremely high compression ratio with a high-quality loss. In medical applications, the diagnostically significant regions (intere...
| Main Author: | |
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| Format: | Article |
| Language: | Arabic |
| Published: |
University of Information Technology and Communications
2019-05-01
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| Series: | Iraqi Journal for Computers and Informatics |
| Subjects: | |
| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/43 |
| _version_ | 1797650322704826368 |
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| author | Sarah Jasim |
| author_facet | Sarah Jasim |
| author_sort | Sarah Jasim |
| collection | DOAJ |
| description | There is a significant necessity to compress the medical images for the purposes of communication and storage.
Most currently available compression techniques produce an extremely high compression ratio with a high-quality loss. In
medical applications, the diagnostically significant regions (interest region) should have a high image quality. Therefore, it is
preferable to compress the interest regions by utilizing the Lossless compression techniques, whilst the diagnostically lessersignificant regions (non-interest region) can be compressed by utilizing the Lossy compression techniques. In this paper, a hybrid
technique of Set Partition in Hierarchical Tree (SPIHT) and Bat inspired algorithms have been utilized for Lossless compression
the interest region, and the non-interest region is loosely compressed with the Discrete Cosine Transform (DCT) technique.
The experimental results present that the proposed hybrid technique enhances the compression performance and ratio. Also,
the utilization of DCT increases compression performance with low computational complexity. |
| first_indexed | 2024-03-11T15:59:34Z |
| format | Article |
| id | doaj.art-195fbbe77122481baa4021e179498e41 |
| institution | Directory Open Access Journal |
| issn | 2313-190X 2520-4912 |
| language | Arabic |
| last_indexed | 2024-03-11T15:59:34Z |
| publishDate | 2019-05-01 |
| publisher | University of Information Technology and Communications |
| record_format | Article |
| series | Iraqi Journal for Computers and Informatics |
| spelling | doaj.art-195fbbe77122481baa4021e179498e412023-10-25T07:52:40ZaraUniversity of Information Technology and CommunicationsIraqi Journal for Computers and Informatics2313-190X2520-49122019-05-014511510.25195/ijci.v45i1.4330MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMSSarah Jasim0Middle Technical UniversityThere is a significant necessity to compress the medical images for the purposes of communication and storage. Most currently available compression techniques produce an extremely high compression ratio with a high-quality loss. In medical applications, the diagnostically significant regions (interest region) should have a high image quality. Therefore, it is preferable to compress the interest regions by utilizing the Lossless compression techniques, whilst the diagnostically lessersignificant regions (non-interest region) can be compressed by utilizing the Lossy compression techniques. In this paper, a hybrid technique of Set Partition in Hierarchical Tree (SPIHT) and Bat inspired algorithms have been utilized for Lossless compression the interest region, and the non-interest region is loosely compressed with the Discrete Cosine Transform (DCT) technique. The experimental results present that the proposed hybrid technique enhances the compression performance and ratio. Also, the utilization of DCT increases compression performance with low computational complexity.https://ijci.uoitc.edu.iq/index.php/ijci/article/view/43medical images compression, spiht algorithm, bat inspired algorithm, dct |
| spellingShingle | Sarah Jasim MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS Iraqi Journal for Computers and Informatics medical images compression, spiht algorithm, bat inspired algorithm, dct |
| title | MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS |
| title_full | MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS |
| title_fullStr | MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS |
| title_full_unstemmed | MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS |
| title_short | MEDICAL IMAGES COMPRESSION BASED ON SPIHT AND BAT INSPIRED ALGORITHMS |
| title_sort | medical images compression based on spiht and bat inspired algorithms |
| topic | medical images compression, spiht algorithm, bat inspired algorithm, dct |
| url | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/43 |
| work_keys_str_mv | AT sarahjasim medicalimagescompressionbasedonspihtandbatinspiredalgorithms |