The parametrization of light rays in form of light fields (LF) have become the standard and probably the most common way for the representation, analysis and processing of rays emitted from 3D objects or from 3D displays. Essentially, the LFs are 4D maps representing the spatial and angular distribution of the intensity of the rays. Nowadays, with the increasing availability of spectral imagers, the conventional LF can be augmented with the spectral information, yielding to what we call spectral light fields (SLFs). Spectral light fields refer to a 5D distribution of spatial, angular and spectral ray’s distribution. Thus, the SLF can be viewed as spectral radiance over a 2D manifold, or as 5D parameterization of a plenoptic function. In this paper we show the utility of the SLFs for digital 3D reconstruction. We show that the additional spectral domain provides important information that can be utilized to overcome 3D reconstruction artefacts caused by ambiguities in commonly captured LFs. We demonstrate the utilization of the SLFs for profilomety and refocusing.
Light fields are four-dimensional parametrizations of rays, extensively used for the representation of the rays emitted from three-dimensional objects. With the increasing availability of spectral imagers, conventional light fields can be augmented by the additional spectral information, yielding a five-dimensional ray parametrization referred to as a spectral light field. We demonstrate that utilization of the spectral channel information can improve the profilometric performance of light-field cameras.
Digital holography, as any other coherent imaging modalities, is subject to speckle noise. Speckles may degrade significantly the image quality, therefore many optical and digital techniques were developed to suppress the speckles. In this paper we present a comparison between six digital speckle filtering techniques used for digital holography.
Digital holography, as any other coherent imaging modalities, is subject to speckle noise. Speckles may degrade
significantly the image quality, therefore many optical and digital techniques were developed to suppress the speckles. In
this paper we present a comparison between six digital speckle filtering techniques used for digital holography.
We have recently introduced a progressive compressing sensing method based on an appropriate sampling
scheme of optical Radon projections. By choosing the sampling steps to be of the size of the golden angle
new information is optimally acquired with each angular sampling step thus permitting gradual improvement
of the reconstructed image. A comparison between the progressive sampling scheme with the conventional
one based on uniform sampling is given in terms of their coherence parameter.