Single-shot multispectral imaging with a monochromatic camera

Abstract

Multispectral imaging plays an important role in many applications from astronomical imaging, earth observation to biomedical imaging. However, the current technologies are complex with multiple alignment-sensitive components, predetermined spatial and spectral parameters by manufactures. Here, we demonstrate a single-shot multispectral imaging technique that gives flexibility to end-users with a very simple optical setup, thank to spatial correlation and spectral decorrelation of speckle patterns. These seemingly random speckle patterns are point spreading functions (PSFs) generated by light from point sources propagating through a strongly scattering medium. The spatial correlation of PSFs allows image recovery with deconvolution techniques, while the spectral decorrelation allows them to play the role of tune-able spectral filters in the deconvolution process. Our demonstrations utilizing optical physics of strongly scattering media and computational imaging present the most cost-effective approach for multispectral imaging with great advantages

Imaging objects through scattering layers and around corners by retrieval of the scattered point spread function

“…More recently, with the knowledge of the point spread function (PSF) measured before data acquisition [40], Zhuang et al showed high speed full-color imaging through a diffuser [41]. Several other deconvolution experiments have been reported [42][43][44] which require the measurement of PSF in advance. Recently, Antipa et al demonstrated the reconstruction of light field and digital refocus from the caustics pattern caused by a phase diffuser [45].…”

A Review of Ghost Imaging via Sparsity Constraints

“…Hence, its application is restricted in fields such as ultra-fast imaging [60,61]. Recently, remarkable snap-shot spectral imaging techniques have been widely developed to acquire a 3D spectral data-cube in just a single exposure [62][63][64][65][66]. However, since the correlation between pixels and wavelengths of the 3D image data-cube is not utilized in these methods, the information acquisition efficiency is lower than the Shannon limit [67,68].…”

“…For conventional imaging technologies, which is based on the point-to-point correspondence between the object and the image planes, the resolution can be accurately analyzed with the transmission function of the imaging systems [103,104]. However, for imaging systems based on the wavefront random phase modulation [20,64,[105][106][107][108], since the point-to-point correspondence doesn't exist anymore, their resolution ability is difficult to be directly obtained from the transmission function, but can be obtained by analyzing the high-order correlation of light fields. Based on high-order spatial autocorrelation of thermal light, a lensless Wiener-Khinchin telescope was proposed [22].…”

Color imaging through scattering media based on phase retrieval with triple correlation

“…However, the wavefront shaping techniques are time-consuming, due to the required long sequence of measurement steps, one for each imaging pixel, and are thus difficult to use without feedback. A recent breakthrough approach by S. K. Sahoo et al [15], which exploits the decorrelations of spectral point spread functions (sPSF) [13,14], has achieved multispectral imaging and color imaging by deconvolution technique. However, this technique suffers from some shortcomings of the decorrelations bandwidth and deconvolution technique: (i) requires measuring the sPSF before imaging; and (ii) the image quality is predetermined by the stability of the optical components.…”