CS Theory-Based Compression Techniques for Medical Images

  • Rohit M. Thanki
  • Ashish Kothari


This chapter covers various compressive sensing (CS) theory-based compression techniques for medical images. These techniques are implemented using various image transforms such as DFT, DCT, DWT, and hybridization of it. Here, the sparsity property of image transforms is explored. The chapter gives a performance analysis of these techniques using various evaluation parameters such as RMSE, PSNR, CR, and various SIM.


Compressive sensing Compressed image Measurement matrix Sparse coefficients Sparse measurements 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Rohit M. Thanki
    • 1
  • Ashish Kothari
    • 2
  1. 1.Faculty of Technology and EngineeringC. U. Shah UniversityWadhwan CityIndia
  2. 2.Atmiya UniversityRajkotIndia

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