Computational imaging involves the combined design of optical hardware, electronics, and computer algorithms to create novel imaging systems with unprecedent capabilities. 

In our research group we develop new computational imaging techniques based on structured illumination and single-pixel detection, including ghost imaging and compressive sensing. In contrast to a conventional camera, which uses millions of pixels, single-pixel imaging techniques translate spatial sampling into the illumination process using spatial light modulators (SLM) dedicated sensors, and mathematical algorithms to recover the image. In this way, simple but highly specialized detectors can be used that allow high light efficiency. 

Besides, it is possible to perform multidimensional operation by measuring multiple physical parameters of the light, such as the time evolution, polarization, and spectral content. The performance of this kind of cameras in turbid media is different from that of the conventional camera, being much more tolerant to the presence of scattering between the object and the detector. 

We have proposed relevant ideas and applications in information security, multiespectral imaging, phase imaging, microscopy, diffuse optical imaging, and imaging through scattering media.

We are active in the following research topics: