Selection of Wavelets for Medical Image Compression

Medical images carry huge and vital information. It is necessary to compress the medical images without losing its vital-ness. Wavelet transform is preferable in the field of compression because of much more information of image can be retraced by it than any other transform. There are varieties of wavelets available but always there is a question in designers mind about which type of wavelet should I select for my design? Here we have focused on the selection of wavelet for compression of medical images. Various wavelets have been used for compression and we have done quality analysis on reconstructed image. Based on results we have found out the best suitable wavelet for medial image compression.

[1]  Lawrence Carin,et al.  A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure , 2006, IEEE Transactions on Image Processing.

[2]  Susan M. Anderson Think Research: Using Electronic Medical Records to Bridge Patient Care and Research , 2005 .

[3]  William A. Pearlman,et al.  Efficient, low-complexity image coding with a set-partitioning embedded block coder , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[4]  J. Todd Book Review: Digital image processing (second edition). By R. C. Gonzalez and P. Wintz, Addison-Wesley, 1987. 503 pp. Price: £29.95. (ISBN 0-201-11026-1) , 1988 .

[5]  S. Gupta,et al.  Wavelet-based statistical approach for speckle reduction in medical ultrasound images , 2003, Medical and Biological Engineering and Computing.

[6]  R.M. Gray Image compression , 1991, [1991] Proceedings. Data Compression Conference.

[7]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  M. Mrak,et al.  Picture quality measures in image compression systems , 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

[9]  Christophe Rosenberger,et al.  JPEG 2000, an adapted compression method for ultrasound images ? A comparative study , 2002 .

[10]  B. Ramakrishnan,et al.  COMPRESSION OF DICOM IMAGES BASED ON WAVELETS AND SPIHT FOR TELEMEDICINE APPLICATIONS , 2000 .

[11]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..