1,971 research outputs found
SLIC Based Digital Image Enlargement
Low resolution image enhancement is a classical computer vision problem.
Selecting the best method to reconstruct an image to a higher resolution with
the limited data available in the low-resolution image is quite a challenge. A
major drawback from the existing enlargement techniques is the introduction of
color bleeding while interpolating pixels over the edges that separate distinct
colors in an image. The color bleeding causes to accentuate the edges with new
colors as a result of blending multiple colors over adjacent regions. This
paper proposes a novel approach to mitigate the color bleeding by segmenting
the homogeneous color regions of the image using Simple Linear Iterative
Clustering (SLIC) and applying a higher order interpolation technique
separately on the isolated segments. The interpolation at the boundaries of
each of the isolated segments is handled by using a morphological operation.
The approach is evaluated by comparing against several frequently used image
enlargement methods such as bilinear and bicubic interpolation by means of Peak
Signal-to-Noise-Ratio (PSNR) value. The results obtained exhibit that the
proposed method outperforms the baseline methods by means of PSNR and also
mitigates the color bleeding at the edges which improves the overall
appearance.Comment: 6 page
Understanding the nucleation mechanisms of Carbon Nanotubes in catalytic Chemical Vapor Deposition
The nucleation of carbon caps on small nickel clusters is studied using a
tight binding model coupled to grand canonical Monte Carlo simulations. It
takes place in a well defined carbon chemical potential range, when a critical
concentration of surface carbon atoms is reached. The solubility of carbon in
the outermost Ni layers, that depends on the initial, crystalline or
disordered, state of the catalyst and on the thermodynamic conditions, is
therefore a key quantity to control the nucleation
Importance of carbon solubility and wetting properties of nickel nanoparticles for single wall nanotube growth
Optimized growth of Single Wall Carbon Nanotubes requires a full knowledge of
the actual state of the catalyst nanoparticle and its interface with the tube.
Using Tight Binding based atomistic computer simulations, we calculate carbon
adsorption isotherms on nanoparticles of nickel, a typical catalyst, and show
that carbon solubility increases for smaller nanoparticles that are either
molten or surface molten under experimental conditions. Increasing carbon
content favors the dewetting of Ni nanoparticles with respect to sp2 carbon
walls, a necessary property to limit catalyst encapsulation and deactivation.
Grand Canonical Monte Carlo simulations of the growth of tube embryos show that
wetting properties of the nanoparticles, controlled by carbon solubility, are
of fundamental importance to enable the growth, shedding a new light on the
growth mechanisms
Etude comparative des scores d'implication des salariés syndiqués et non syndiqués en France
Etude comparative des scores d’implication des salariés syndiqués et non syndiqués en France
Magnetism: the Driving Force of Order in CoPt. A First-Principles Study
CoPt or FePt equiatomic alloys order according to the tetragonal L10
structure which favors their strong magnetic anisotropy. Conversely magnetism
can influence chemical ordering. We present here {\it ab initio} calculations
of the stability of the L10 and L12 structures of Co-Pt alloys in their
paramagnetic and ferromagnetic states. They show that magnetism strongly
reinforces the ordering tendencies in this system. A simple tight-binding
analysis allows us to account for this behavior in terms of some pertinent
parameters
Interaction of carbon clusters with Ni(100) : Application to the nucleation of carbon nanotubes
In order to understand the first stages of the nucleation of carbon nanotubes
in catalytic processes, we present a tight-binding Monte Carlo study of the
stability and cohesive mechanisms of different carbon structures deposited on
nickel (100) surfaces. Depending on the geometry, we obtain contrasted results.
On the one hand, the analysis of the local energy distributions of flat carbon
sheets, demonstrate that dangling bonds remain unsaturated in spite of the
presence of the metallic catalyst. Their adhesion results from the energy gain
of the surface Ni atoms located below the carbon nanostructure. On the other
hand, carbon caps are stabilized by the presence of carbon atoms occupying the
hollow sites of the fcc nickel structure suggesting the saturation of the
dangling bonds
A simple thermodynamical witness showing universality of macroscopic entanglement
We show that if the ground state entanglement exceeds the total entropy of a
given system, then this system is in an entangled state. This is a universal
entanglement witness that applies to any physical system and yields a
temperature below which we are certain to find some entanglement. Our witness
is then applied to generic bosonic and fermionic many body systems to derive
the corresponding "critical" temperatures that have a very broad validity.Comment: 3 pages, Torun conference, June 25-28, 200
Cosmological Systematics Beyond Nuisance Parameters : Form Filling Functions
In the absence of any compelling physical model, cosmological systematics are
often misrepresented as statistical effects and the approach of marginalising
over extra nuisance systematic parameters is used to gauge the effect of the
systematic. In this article we argue that such an approach is risky at best
since the key choice of function can have a large effect on the resultant
cosmological errors. As an alternative we present a functional form filling
technique in which an unknown, residual, systematic is treated as such. Since
the underlying function is unknown we evaluate the effect of every functional
form allowed by the information available (either a hard boundary or some
data). Using a simple toy model we introduce the formalism of functional form
filling. We show that parameter errors can be dramatically affected by the
choice of function in the case of marginalising over a systematic, but that in
contrast the functional form filling approach is independent of the choice of
basis set. We then apply the technique to cosmic shear shape measurement
systematics and show that a shear calibration bias of |m(z)|< 0.001(1+z)^0.7 is
required for a future all-sky photometric survey to yield unbiased cosmological
parameter constraints to percent accuracy. A module associated with the work in
this paper is available through the open source iCosmo code available at
http://www.icosmo.org .Comment: 24 pages, 18 figures, accepted to MNRA
Cosmic shear requirements on the wavelength-dependence of telescope point spread functions
Cosmic shear requires high precision measurement of galaxy shapes in the
presence of the observational Point Spread Function (PSF) that smears out the
image. The PSF must therefore be known for each galaxy to a high accuracy.
However, for several reasons, the PSF is usually wavelength dependent,
therefore the differences between the spectral energy distribution of the
observed objects introduces further complexity. In this paper we investigate
the effect of the wavelength-dependence of the PSF, focusing on instruments in
which the PSF size is dominated by the diffraction-limit of the telescope and
which use broad-band filters for shape measurement.
We first calculate biases on cosmological parameter estimation from cosmic
shear when the stellar PSF is used uncorrected. Using realistic galaxy and star
spectral energy distributions and populations and a simple three-component
circular PSF we find that the colour-dependence must be taken into account for
the next generation of telescopes. We then consider two different methods for
removing the effect (i) the use of stars of the same colour as the galaxies and
(ii) estimation of the galaxy spectral energy distribution using multiple
colours and using a telescope model for the PSF. We find that both of these
methods correct the effect to levels below the tolerances required for per-cent
level measurements of dark energy parameters. Comparison of the two methods
favours the template-fitting method because its efficiency is less dependent on
galaxy redshift than the broad-band colour method and takes full advantage of
deeper photometry.Comment: 10 pages, 8 figures, version accepted for publication in MNRA
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