A Review on Medical Image Compression and Encryption Using Compressive Sensing

Recently, the use of public networks for multimedia transmission is rapidly increasing, so there is a demand for high data rate, while protecting the security of data. Compressive Sensing (CS) is an acquisition technique for sparse signals. CS has a property that allows it to recover the sparse signal at a lower rate than Nyquist rate. In the case of transmission, signal security is also an important factor. CS can be utilized as a cryptosystem when the measurement matrix is shared as a key between the transmitter and receiver. This review paper focuses on the essential theory and technique for compressing and encrypting medical images using CS, with a comparative study of different researches inside this domain.