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.
This paper proposed a multi-channel spectral coding method for the coded aperture tunable filter spectral imager where the liquid crystal tunable filter is switched to encompass several selective spectral channels into one snapshot. The spectral coding and spatial coding could be designed concurrently.