CS Theory-Based Compression Techniques for Medical Images

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.