Automatic single-point imaging system based on compressive sensing technique

An automatic single-point imaging compressive sampling (CS) system was developed in the present work based on the concept of manual CS system. The design of the rotating coding disc and the way for obtaining the information of coding block were presented. A series of optimized coding blocks were used as sensing matrix and the minimum mean square error linear estimate (MMSE) algorithm was employed for image reconstruction. The quality of image reconstruction could be guaranteed when low sample rate of 7.8% was used. It is demonstrated that the proposed automatic system can work better than the manual one, with lower error, higher efficiency and more flexible in measurement times.