Micha Feigin

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Time-of-flight (ToF) cameras calculate depth maps by reconstructing phase shifts of amplitude-modulated signals. For broad illumination of transparent objects, reflections from multiple scene points can illuminate a given pixel, giving rise to an erroneous depth map. We report here a sparsity-regularized solution that separates K interfering components(More)
Multipath interference (MPI) is one of the major sources of both depth and amplitude measurement errors in Time–of–Flight (ToF) cameras. This problem has seen a lot of attention recently. In this work, we discuss the MPI problem within the framework spectral estimation theory and multi– frequency measurements. As compared to previous approaches that(More)
This paper introduces an adaptive threshold algorithm based on variational methods which generalizes the Mumford-Shah and Chan-Vese functionals. It assumes a piecewise smooth model of the image and a closed contour, realized as the zero level set of a function. This functional is built upon an adaptive threshold surface coupled with the smoothed image. The(More)
The Nomarski differential interference contrast (DIC) microscopy is of widespread use for observing live biological specimens. In fertility clinics the DIC microscope is used for evaluating human embryo cells. An image formation model for DIC imaging is needed for reconstruction and quantification of the visualized specimens. This calls for a complicated(More)
We present a novel approach for evaluation of position and orientation of geometric shapes from scattered time-resolved data. Traditionally, imaging systems treat scattering as unwanted and are designed to mitigate the effects. Instead, we show here that scattering can be exploited by implementing a system based on a femtosecond laser and a streak camera.(More)
The need for the reconstruction and quantification of visualized objects from light microscopy images requires an image formation model that adequately describes the interaction of light waves with biological matter. Differential interference contrast (DIC) microscopy, as well as light microscopy, uses the common model of the scalar Helmholtz equation. Its(More)
Signal and image processing have seen an explosion of interest in the last few years in a new form of signal/image characterization via the concept of sparsity with respect to a dictionary. An active field of research is dictionary learning: the representation of a given large set of vectors (e.g. signals or images) as linear combinations of only few(More)