Index Link

  • RootNode

Item

{"_buckets": {"deposit": "d7421e6c-aae2-4882-95e6-70e6f87f4b87"}, "_deposit": {"id": "4846", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4846"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4846", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "3D Medical Image Compression Using Adaptive Huffman Encoding Technique in mobile devices for wireless transmission", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper presents adaptive Medical Image Compression using adaptive Huffman encoding technique for mobile devices to reduce the transmission energy of images through wireless networks. With an increase in the usage of mobile devices, users have to continually store and transport data on their mobile devices. In order to have efficient utilization of disk space and transmission rate in mobile computing environment, images need to be compressed. This reduction in file size saves disk/memory space and allows faster transmission of images over a medium. This paper proposes the framework for 3D Medical Image Compression using adaptive Huffman Encoding Technique in hospital information system (HIS). It evaluates these existing algorithms with a newly proposed scheme, Ternary Tree algorithm, implemented with improvements to make the algorithm fully complete. Image control can be used to display a graphical image - Icon (ICO), Bitmap (BMP), Metafile (WMF), GIF, JPEG, etc, then an algorithm is created to implement adaptive Huffman coding method that removes redundant codes from the image and compresses a BMP image file (especially grayscale image) and it is successfully reconstructed. This reconstructed image is an exact representation of the original because it is lossless compression technique."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Medical Image Compression"}, {"interim": "Adaptive Huffman Coding"}, {"interim": "Hospital Information System"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eleventh International Conference On Computer Applications (ICCA 2013)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aye, Zin Win"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2013-02-26"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/744"}, "item_title": "3D Medical Image Compression Using Adaptive Huffman Encoding Technique in mobile devices for wireless transmission", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004846", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-11"}, "publish_date": "2019-07-11", "publish_status": "0", "recid": "4846", "relation": {}, "relation_version_is_last": true, "title": ["3D Medical Image Compression Using Adaptive Huffman Encoding Technique in mobile devices for wireless transmission"], "weko_shared_id": -1}

3D Medical Image Compression Using Adaptive Huffman Encoding Technique in mobile devices for wireless transmission

http://hdl.handle.net/20.500.12678/0000004846
62cfdf6b-861f-4745-9d18-b75b134aea47
d7421e6c-aae2-4882-95e6-70e6f87f4b87
Publication type
Article
Upload type
Publication
Title
Title 3D Medical Image Compression Using Adaptive Huffman Encoding Technique in mobile devices for wireless transmission
Language en
Publication date 2013-02-26
Authors
Aye, Zin Win
Description
This paper presents adaptive Medical Image Compression using adaptive Huffman encoding technique for mobile devices to reduce the transmission energy of images through wireless networks. With an increase in the usage of mobile devices, users have to continually store and transport data on their mobile devices. In order to have efficient utilization of disk space and transmission rate in mobile computing environment, images need to be compressed. This reduction in file size saves disk/memory space and allows faster transmission of images over a medium. This paper proposes the framework for 3D Medical Image Compression using adaptive Huffman Encoding Technique in hospital information system (HIS). It evaluates these existing algorithms with a newly proposed scheme, Ternary Tree algorithm, implemented with improvements to make the algorithm fully complete. Image control can be used to display a graphical image - Icon (ICO), Bitmap (BMP), Metafile (WMF), GIF, JPEG, etc, then an algorithm is created to implement adaptive Huffman coding method that removes redundant codes from the image and compresses a BMP image file (especially grayscale image) and it is successfully reconstructed. This reconstructed image is an exact representation of the original because it is lossless compression technique.
Keywords
Medical Image Compression, Adaptive Huffman Coding, Hospital Information System
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/744
Journal articles
Eleventh International Conference On Computer Applications (ICCA 2013)
Conference papers
Books/reports/chapters
Thesis/dissertations
0
0
views
downloads
Views Downloads

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats