Compression of CT Images with Modified Inverse Pyramidal Decomposition

نویسندگان

  • ROUMEN KOUNTCHEV
  • ROUMIANA KOUNTCHEVA
چکیده

In the paper is presented one novel approach for adaptive compression of groups of computer tomography (CT) images, based on modified branched inverse pyramid decomposition. In result is obtained high compression ratio with retained image quality. To achieve this, was used the high correlation between sequences of CT images, representing same object(s). The experimental results confirm the efficiency of the presented method. Key-Words: Image processing, Archiving of CT images, Compression of sequences of medical images; Image group coding, Modified branched pyramidal image decomposition.

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تاریخ انتشار 2012