Zobrazeno 1 - 10
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pro vyhledávání: '"Yaroslavsky, Leonid P."'
Autor:
Yaroslavsky, Leonid P.
Publikováno v:
Compressed Sensing: Methods, Theory and Applications, Chapt.1., Ed. Jonathon M. Sheppard, Nova Publishers, 2018
The problem of minimization of the number of measurements needed for digital image acquisition and reconstruction with a given accuracy is addressed. Basics of the sampling theory are outlined to show that the lower bound of signal sampling rate suff
Externí odkaz:
http://arxiv.org/abs/1710.05985
Autor:
Yaroslavsky, Leonid
Publikováno v:
Journal of Optics, 2017
A problem is addressed of minimization of the number of measurements needed for digital image acquisition and reconstruction with a given accuracy. A sampling theory based method of image sampling and reconstruction is suggested that allows to draw n
Externí odkaz:
http://arxiv.org/abs/1601.00311
Autor:
Yaroslavsky, Leonid
Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet and alike. They are the basic tool in image compression, in image restoration, in image re-sampling and geomet
Externí odkaz:
http://arxiv.org/abs/1408.6335
Autor:
Yaroslavsky, Leonid
Results of experimental investigation are presented of evolutionary dynamics of several stochastic pattern formation and growth models designed by modifications of the famous mathematical Game of Life. The modifications are two-fold: Game of Life rul
Externí odkaz:
http://arxiv.org/abs/1310.7604
Autor:
Yaroslavsky, Leonid
Several modifications of the famous mathematical Game of Life are introduced by making Game of Life rules stochastic and mutual influence of cells in their 8-neighborhood on a rectangular lattice spatially non-uniform. Results are reported of experim
Externí odkaz:
http://arxiv.org/abs/1304.8104
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 regularly sampled ones or to restore missing data. In this paper, we addre
Externí odkaz:
http://arxiv.org/abs/0808.3728
Optics-less cutaneous (skin) vision is not rare among living organisms, though its mechanisms and capabilities have not been thoroughly investigated. This paper demonstrates, using methods from statistical parameter estimation theory and numerical si
Externí odkaz:
http://arxiv.org/abs/0808.1225
Image and video quality in Long Range Observation Systems (LOROS) suffer from atmospheric turbulence that causes small neighbourhoods in image frames to chaotically move in different directions and substantially hampers visual analysis of such image
Externí odkaz:
http://arxiv.org/abs/0704.3447
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 devised. But what about lensless "imaging"? Recently, we showed that a ba
Externí odkaz:
http://arxiv.org/abs/physics/0703096