27 citations · 51 across the 6 of their papers we have counts for
6 papers
Discrete Sampling Theorem, Sinc-lets and Other Peculiar Properties of Sampled Signals
L. Yaroslavsky
Discrete sampling theorem is formulated that refers to discrete signals specified by a finite number of their samples and band-limited in a domain of a certain orthogonal transform…
Non-uniform sampling, image recovery from sparse data and the discrete sampling theorem
Leonid P. Yaroslavsky, Gil Shabat, Benny G. Salomon +2
In many applications sampled data are collected in irregular fashion or are partly lost or unavailable. In these cases it is required to convert irregularly sampled signals to regu…
Optics-less Sensors for Localization of Radiation Sources
H. J. Caulfield, L. P. Yaroslavsky, Ch. Goerzen +1
A new family of radiation sensors is introduced which do not require any optics. The sensors consist of arrays of elementary sub-sensors with natural cosine-law or similar angular…
Super-resolution in turbulent videos: making profit from damage
L. Yaroslavsky, B. Fishbain, G. Shabat +1
It is shown that one can make use of local instabilities in turbulent video frames to enhance image resolution beyond the limit defined by the image sampling rate. The paper outlin…
Brainy light sensors with no diffraction limitations
H. J. Caulfild, L. P. Yaroslavsky, Jacques Ludman
In total ignorance of what a scene contains, imaging systems are extremely useful. But if we know the scene will be comprised of no more than a few distant point sources, nonimagin…
Computational Vision in Nature and Technology
Leonid Yaroslavsky, H. John Caulfield
It is hard for us humans to recognize things in nature until we have invented them ourselves. For image-forming optics, nature has made virtually every kind of lens humans have dev…