Abstract
Human ability to visualize an image is usually hindered by optical scattering. Recent extensive studies have promoted imaging technique through turbid materials to a reality where color image can be restored behind scattering media in real time. The big challenge now is to recover objects in a large field of view with depth resolving ability. Based on the existing research results, we systematically study the physical relationship between speckles generated from objects at different planes. By manipulating a given single point spread function, depth-resolved imaging through a thin scattering medium can be extended beyond the original depth of field (DOF). Experimental testing of standard scattering media shows that the DOF can be extended up to 5 times and the physical mechanism is depicted. This extended DOF is benefit to 3D imaging through scattering environment, and it is expected to have important applications in science, technology, bio-medical, security and defense.
Highlights
Light scattering is an obstacle for optical imaging when our sights are blocked by smoke, mist, anisotropy biological tissues, or air turbulence
Speckle correlation has been well discussed on the imaging plane, from either lateral or axial direction
Prove-of-concept is demonstrated both with simulation and with experiment that the retrieved imaging is shown with good quality and high fidelity
Summary
Light scattering is an obstacle for optical imaging when our sights are blocked by smoke, mist, anisotropy biological tissues, or air turbulence. The following are the most representative ones, to just name a few: ultrafast time-of-flight scattering imaging method[10], digital holography technique[11], phase-space analysis methods[12,13], holographic image sensor with speckle-correlation scattering matrix[14], DiffuserCam with a well-designed compress sensing algorithm[15], depth-resolved with speckle holography and two-point intensity correlation[16], wavefront shaping with axial “Memory Effect” (ME)[17,18,19,20], speckle correlation method with an assisted reference point source[21], and so on. The imaging process can be denoted as a correlation function of the PSF and the object distribution function:
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