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Optimum Dct Compression Of Medical Images Using Neural Networks. (Khashman, Adnan,)
Bibliographical information (record 269708)
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Optimum Dct Compression Of Medical Images Using Neural Networks.
Author:
 Khashman, Adnan, Search Author in Amazon Books

Publisher:
Insticc-Inst Syst Technologies Information Control & Communication,
ISBN:
 978-989-8111-85-2
Edition:
 2009.
Classification:
 QA76.9
Detailed notes
    - Medical imaging requires storage of large quantities of digitized data Efficient storage and transmission of medical images in telemedicine is of utmost importance however,. Due to the constrained bandwidth and storage capacity, a medical image must be compressed before transmission or storage. An ideal image compression system must yield high quality compressed images with high compression ratio; this can be achieved using DCT-based image compression, however the contents of the image affects the choice of an optimum compression ratio. In this paper, a neural network is trained to relate the x-ray image contents to their optimum compression ratio. Once trained, the optimum DCT compression ratio of the x-ray image can be chosen upon presenting the image to the network. Experimental results suggest that out proposed system, can be efficiently used to compress x-rays while maintaining high image quality.
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Status
Library
Section
EOL-1717
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NEU Grand LibraryOnline (QA76.9 .O68 2009)
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