Real-time adaptive coded aperture: Application to the compressive spectral imaging system

Adaptive coding is a recently emerging strategy for designing coded apertures using a-priori information of target layout to improve the reconstruction accuracy of compressed information. Based on the compressive sensing imaging system, this paper proposes a method for designing adaptive coded apertures by using the low-resolution a-prior information of every spectral band of the scene. This method also enables coded apertures containing both positive and negative coding information can be implemented in a compressive spectral imaging system that uses DMD or similar device as a coding device. Compared with other designs that utilized various kinds of a-prior information, this solution does not require additional equipment and is in real-time. The simulation results show the proposed real-time adaptive coded apertures method can attain better reconstruction performance than that of a random coding method at relative high compression ratio.