Terahertz image reconstruction based on sparse information

Terahertz (THz) wave has unique properties due to its special position in the electromagnetic spectrum. In recent years, imaging and sensing with THz radiation has aroused considerable interests and is found to be promising for plenty of applications. In this paper, several THz imaging concepts based on sparse information were introduced, such as THz surface layer reconstruction with sparse random step frequency, and the single frequency adaptive focusing with minimum-entropy (ME) method, which may find applications in reducing the complexity and the cost of imaging systems in THz band.