The nascent field of indirect imaging is concerned with the recovery of information pertaining to objects that are beyond the line-of-sight (LoS) and hidden from view. Current approaches to indirect imaging are either limited in their ability to recover spatially resolved imagery (resolution of few centimeters at 1-meter standoff) or impose severe restrictions on the imaging geometry. The present work examines two approaches that recover spatial detail on hidden objects by exploiting spatial and spectral correlation in the light scattered by the objects. Experiments have demonstrated the ability to discern sub-millimeter spatial detail, on centimeter sized objects positioned 1-meter behind a wall.
Recent advances in computation, optical projection, and non-traditional imaging sensor designs are making it possible to overcome classical optical challenges which have stood for centuries: breaking resolution “limits” in real world scenarios and capturing indirect images of obscured objects.
Structured illumination has been utilized to super-resolve microscopic objects and provide topographic information in computer vision applications. Motivated by the achievements in these fields and leveraging techniques found in astronomical sparse aperture systems, an approach is developed to super-resolve macroscopic objects in typical real world scenarios. The challenges of super-resolving uncontrolled 3D environments are addressed. An approach is presented which enables the collection of 3D topographic information while super-resolving. These techniques use incoherent illumination to resolve spatial detail in an intensity image. For indirect imaging scenarios, this approach is adapted with structured coherent illumination to super-resolve phase at a distance.