Performance Evaluation of DCT, DWT and SPIHT Techniques for Medical Image Compression

  • M. Laxmi Prasanna RaniEmail author
  • G. Sasibhushana Rao
  • B. Prabhakara Rao
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


Medical imaging is, visible illustration of internal of the human body in digital form. There exists a need for compression of these medical images for storage and transmission purposes with high image quality for error free diagnosis of diseases. It is necessary to develop new techniques for compression of images, resulting into reduction in cost of data storage and transmission. This paper proposes a progressive and DWT-based Set Partition in Hierarchical Tree (SPIHT) algorithm for achieving better image compression while maintaining the nature of restored image. The performance of SPIHT algorithm is evaluated and compared with simple DCT and DWT using the parameters like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and compression ratio (CR). From the results it is concluded that SPIHT algorithm produces better PSNR and MSE values compared to DCT and DWT with high image quality.


Image compression DCT DWT SPIHT PSNR MSE 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • M. Laxmi Prasanna Rani
    • 1
    Email author
  • G. Sasibhushana Rao
    • 2
  • B. Prabhakara Rao
    • 3
  1. 1.Department of ECEMVGR College of EngineeringVizianagaramIndia
  2. 2.Department of ECEAUCE(A), Andhra UniversityVisakhapatnamIndia
  3. 3.Department of ECEJNTUKKakinadaIndia

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