Comparative Analysis of Biomedical Image Compression Using Oscillation Concept and Existing Methods

  • Satyawati S. MagarEmail author
  • Bhavani Sridharan
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)


Medical image compression has an important role in hospitals as they are moving towards filmless imaging and go completely digital. Medical imaging produces the great challenge of compression algorithms. While compressing the data to avoid diagnostic errors and yet have high compression rates for reduced storage and transmission time. In this paper, comparative analysis of biomedical image compression using oscillation concept & existing methods is done and we have achieved maximum compression ratio by using oscillation concept method. Other parameters like PSNR, MSE, MSSIM & Std. Deviation are also good as compared to existing methods.


Oscillations concept PACS DCT DWT DFT Fractal compression CR PSNR MSE MSSIM Std. deviation 


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Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  1. 1.Department of ECEKarpagam Academy of Higher Education, Karpagam UniversityCoimbatoreIndia

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