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Medical Image Sequence Compression Using Motion Compensation and Set Partitioning In Hierarchical Trees

Author Affiliations

  • 1ET and T Department, FET, SSGI, SSTC, Bhilai, India
  • 2ET and T Department, FET, SSGI, SSTC, Bhilai, India

Res. J. Engineering Sci., Volume 5, Issue (4), Pages 20-25, April,26 (2016)


Every day, Hospitals and image diagnostic centres generates medical image sequences. A digital image sequences are required large memory. To reduce the memory space, the only solution is a lossless compression technique. Moreover a large number of lossless compression techniques are available in the literature. In which JPEG-LS with inter frame coding is successfully achieve compression gain of 26.3% and 13.3% over method of using of using JPEG 2000 and JPEG-LS respectively. To achieve more gain we are proposing a lossless compression method using SPIHT and motion vector. Motion vector compressed motion between the adjacent image sequences. The motion is not much dominating so we do a motion compression only, in which co-relation between Image sequences is less than the threshold. On the basis of the test image calculated we are able to achieve 37% gain over JPEG and interface coding. ARPS is the fastest algorithm among all other existing blocks matching techniques.


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