User profiles for T. Blu
Thierry Bluthe Chinese University of Hong Kong Verified email at ee.cuhk.edu.hk Cited by 16779 |
Sampling signals with finite rate of innovation
… Vetterli, and T. Blu, “A sampling theorem for a class of piecewise bandlimited signals,”
submitted for publication. [12] JL Massey, “Toward an information theory of spread-spectrum sys- …
submitted for publication. [12] JL Massey, “Toward an information theory of spread-spectrum sys- …
Interpolation revisited [medical images application]
… Blu, and M. Unser are with the Swiss Federal Institute of Technology, Lausanne CH-1015, …
[27] T. Blu, “Complete parametrization of piecewise polynomial interpolators,”, submitted for …
[27] T. Blu, “Complete parametrization of piecewise polynomial interpolators,”, submitted for …
Low-bond axisymmetric drop shape analysis for surface tension and contact angle measurements of sessile drops
… The region energy is given by:(8) E r e g i o n = ∫ ∫ S T r ( f ) d s where the pixel intensity
distribution T r ( f ) is required. Considering that sessile drop images are often produced in …
distribution T r ( f ) is required. Considering that sessile drop images are often produced in …
A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding
… /~sanja/, with a 3 2 3 neighborhood and a threshold value T = as suggested by the authors.
… Blu is the recipient of the 2003 best paper award (SP Theory and Methods) from the IEEE …
… Blu is the recipient of the 2003 best paper award (SP Theory and Methods) from the IEEE …
Image denoising in mixed Poisson–Gaussian noise
… = MjEmean is above a given threshold T. We experimentally found that any value T ∈ [5,15]
was a reasonable choice4 (see the second row of Fig. 6). Thanks to this restriction, the …
was a reasonable choice4 (see the second row of Fig. 6). Thanks to this restriction, the …
Sparse sampling of signal innovations
… Alternatively, we can say that x(t) has B degrees of freedom per second, since x(t) is
exactly … We observe that the signal x(t) is completely determined by the knowledge of the K …
exactly … We observe that the signal x(t) is completely determined by the knowledge of the K …
[PDF][PDF] Image interpolation and resampling
… or only local, it produces a continuous function ƒ(T(x)) that cannot be represented exactly by
… an arbitrary transformation T, no set of coefficients ck can be found for expressing ƒ(T(x)) as …
… an arbitrary transformation T, no set of coefficients ck can be found for expressing ƒ(T(x)) as …
Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets Strang–Fix
… t);'(t=T 0n)i, where the sampling kernel '(t) is, in this example, the box function and the original
signal x(t… samples z that are equivalent to those obtained by sampling dx(t)=dt with the new …
signal x(t… samples z that are equivalent to those obtained by sampling dx(t)=dt with the new …
Sampling curves with finite rate of innovation
… In [4], Blu and Unser showed that one can design an optimal (in the least-square sense) …
we can estimate a continuous domain description of the original signal I(t) via interpolation: …
we can estimate a continuous domain description of the original signal I(t) via interpolation: …
[HTML][HTML] Real-time terahertz imaging with a single-pixel detector
RI Stantchev, X Yu, T Blu… - Nature …, 2020 - nature.com
… function ψ(x, y) and if at time t our mask had a spatial response described by a(t, x, y), then
our detector readout at this time is y(t) = ∫∫ψ(x, y)a(t, x, y)dxdy. This idea is most elegantly …
our detector readout at this time is y(t) = ∫∫ψ(x, y)a(t, x, y)dxdy. This idea is most elegantly …