Phase-space measurement for depth-resolved memory-effect imaging.

Area of Science:

• Optics
• Computational Imaging
• Photonics

Background:

• Turbid media scatter light, hindering conventional imaging of subsurface objects.
• The optical memory effect and angular correlations enable computational image retrieval but lack spatial information.
• Existing methods primarily use k-space measurements, limiting object characterization.

Purpose of the Study:

• To develop a computational imaging technique for retrieving information about hidden objects behind scattering layers.
• To overcome the spatial information limitations of traditional optical memory effect imaging.
• To enable discrimination of object size and depth using scattered light.

Main Methods:

• Utilized windowed Fourier transforms to capture scattered light.
• Recorded images in the full {x,k} phase space, combining spatial and angular information.
• Applied computational methods to analyze the phase space data for object reconstruction.

Main Results:

• Successfully retrieved images of objects hidden behind a thin scattering layer.
• Demonstrated the ability to discriminate the size of individual hidden sources.
• Showed capability to determine the depth of hidden objects based on scattered light analysis.
• Extended imaging capabilities beyond angular information to include spatial (x) information.

Conclusions:

• The developed {x,k} phase space imaging method significantly enhances the characterization of hidden objects.
• This technique offers a novel approach for non-invasive imaging through scattering media.
• The ability to determine size and depth opens new possibilities for applications in various scientific and industrial fields.