Computational imaging with single-pixel detection: Applications in scattering media

Abstract

We describe computational imaging techniques based on single-pixel detection providing multidimensional information of an input scene. The key element of the optical recording stage is a spatial light modulator which sequentially generates a set of intensity light patterns to sample the scene. In this way, it is possible to use single-pixel detectors to measure different optical parameters such as the light intensity, the spectral content, the polarization state, or the phase. The spatial distribution of these parameters is then computed by applying the theory of compressive sampling. In particular, in this contribution we present a new method to transmit images through scattering media. We show that single-pixel optical systems, based on compressive detection, can overcome the fundamental limitation imposed by multiple scattering. In contrast with other schemes based on the transmission matrix technique, our approach does not require any a-priori calibration process. This makes our method suitable to use with dynamic scattering. Experimental results are provided.