NEU GRAND LIBRARY
Opening Hours: Monday-Saturday, 08:00-20:00 | E-mail: library@neu.edu.tr
 

You are not logged in Show Basket
  Home     Advanced Search     Back  
Print
Add to Basket
  Brief display     MARC Display     Reserve  
Medical Radiographs Compression Using Neural Networks And Haar Wavelet. (Khashman, Adnan,)
Bibliographical information (record 269685)
Help
Medical Radiographs Compression Using Neural Networks And Haar Wavelet.
Author:
 Khashman, Adnan, Search Author in Amazon Books

Publisher:
İEEE,
ISBN:
 978-1-4244-3967-6
Edition:
 2009.
Classification:
 TA153
Detailed notes
    - Efficient storage and transmission of medical images in telemedicine is of utmost importance however, this efficiency can be hindered due to storage capacity and constraints on bandwidth. Thus, a medical image may require compression before transmission or storage. Ideal image compression systems must yield high quality compressed images with high compression ratio; this can be achieved using wavelet transform based compression, however, the choice of an optimum compression ratio is difficult as it varies depending on the content of the image. In this paper, a neural network is trained to relate radiograph image contents to their optimum image compression ratio. Once trained, the neural network chooses the ideal Haar wavelet compression ratio of the x-ray images upon their presentation to the network. Experimental results suggest that our proposed system, can be efficiently used to compress radiographs while maintaining high image quality.
Related links
Items (1)
Barcode
Status
Library
Section
EOL-1716
Item available
NEU Grand LibraryOnline (TA153 .M43 2009)
Online electronic
NEAR EAST UNIVERSITY GRAND LIBRARY +90 (392) 223 64 64 Ext:5536. Near East Boulevard, Nicosia, TRNC
This software is developed by NEU Library and it is based on Koha OSS
conforms to MARC21 library data transfer rules.