Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Pixel inversion

Secondly, the linearized inverse problem is, as well as known, ill-posed because it involves the solution of a Fredholm integral equation of the first kind. The solution must be regularized to yield a stable and physically plausible solution. In this apphcation, the classical smoothness constraint on the solution [8], does not allow to recover the discontinuities of the original object function. In our case, we have considered notches at the smface of the half-space conductive media. So, notche shapes involve abrupt contours. This strong local correlation between pixels in each layer of the half conductive media suggests to represent the contrast function (the object function) by a piecewise continuous function. According to previous works that we have aheady presented [14], we 2584... [Pg.326]

It is worth to be noted that not only the position of the pixels, but also their area is modified by the unwarping. Correction of WAXS images thus requires both a translation and a magnification of the intensity proportional to the inverse of the area enclosed by the respective vertices. After the advent of digital computers it became possible to carry out the cumbersome calculus automatically23, as proposed by Fraser24 et al. [35],... [Pg.46]

Cnaale inverse setoetlon to calculate average pixel Intemity for the background X... [Pg.426]

The three-dimensional gamut-constraint method assumes that a canonical illuminant exists. The method first computes the convex hull TLC of the canonical illuminant. The points of the convex hull are then scaled using the set of image pixels. Here, the convex hull would be rescaled by the inverse of the two pixel colors cp and Cbg. The resulting hulls are then intersected and a vertex with the largest trace is selected from the hull. The following result would be obtained for the intersection of the maps Mn-... [Pg.307]

Another method to optimize image contrast includes the addition of an inversion recovery pulse before the typical SE sequence to suppress signal from cerebrospinal fluid (CSF). This yields so-called fluid-attenuated inversion recovery (FLAIR)-or CSF-suppressed DWI images or ADC maps. With this approach, the partial-volume effect of cerebrospinal fluid can be substantially reduced, which is particularly relevant in cortical regions due to the frequent CSF contribution to individual voxels (Latour and Warach 2002). The technique may enhance lesion conspicuity in the vicinity of CSF and has been shown to be of value in research studies utilizing pixel-wise analyses to predict tissue fate. The technique is not yet implemented in many centers, although this may change in the near future. [Pg.121]

For a CCD detector the absorbance noise is independent of the spectral bandwidth, but it depends on the number of measurement pixels sam and reference pixels ref in such a way that sam should be as small as possible and rel should be larger than sam. The other component that influences the noise is the intensity I of the radiation source, in that the absorbance noise is inversely proportional to the square root of I [12]. As the intensity of the radiation source in CS AAS is in some cases up to two orders of magnitude higher than that of a typical LS for conventional AAS, an improvement in the SNR and limits of detection (LoD) by factors of 3-10 could be expected, unless other factors, such as flame noise, become dominant. The values given in Table 4.1 show that this expectation has in fact been realized for the majority of the elements. [Pg.99]

Fig. 35 Simultaneously measured a,b topography c,d repulsive force e,f a.c. current amplitude on graphite before (a, c, e) and after (b, d, f) Fourier space filtering. The Fourier transform parameters for the inverse transformation of b are taken from the Fourier transformation of e. Scan width 5.5 nm, 500x500 pixel, scan speed 50 nm/s, repulsive force 100 nN, a.c. excitation 3.9 mV at 102 kHz. In order to minimise the piezo amplifier noise, a weak feedback was used and the topography contrast is smaller than 100 pm. Force contrast 1 nN, current contrast from 5.5 to 7 nA... Fig. 35 Simultaneously measured a,b topography c,d repulsive force e,f a.c. current amplitude on graphite before (a, c, e) and after (b, d, f) Fourier space filtering. The Fourier transform parameters for the inverse transformation of b are taken from the Fourier transformation of e. Scan width 5.5 nm, 500x500 pixel, scan speed 50 nm/s, repulsive force 100 nN, a.c. excitation 3.9 mV at 102 kHz. In order to minimise the piezo amplifier noise, a weak feedback was used and the topography contrast is smaller than 100 pm. Force contrast 1 nN, current contrast from 5.5 to 7 nA...
Intermolecular dispersion energies are calculated as a sum of pixel-pixel terms in a London-type expression, involving the above defined distributed polarizabilities and an overall oscillator strength > Eos To avoid singularities (as before described) due to very short pixel-pixel distances in an inverse sixth-power formula, each term in the sum is damped, as it is shown here for the molecule A...molecule B interaction ... [Pg.11]

The advantage of AMOLED over PMOLED displays arises because emission in a passive matrix occurs one line at a time, so each OLED element operates at high peak currents and low duty-cycle. The duty-cycle in a PMOLED display is approximately equal to the inverse of the number of rows. For example, in an SXGA (1280 X 1024) display, the duty cycle is approximately 0.1%. The peak current of an OLED pixel may be 1 mA or more. High OLED currents lead to reduced power efficiency and operational lifetime and also place greater demands on the current capacity of the row driver circuits, which may have to handle currents of hundreds of miUiamperes on each output (although not simultaneously). [Pg.581]


See other pages where Pixel inversion is mentioned: [Pg.249]    [Pg.431]    [Pg.129]    [Pg.125]    [Pg.303]    [Pg.316]    [Pg.446]    [Pg.425]    [Pg.132]    [Pg.172]    [Pg.173]    [Pg.232]    [Pg.100]    [Pg.161]    [Pg.351]    [Pg.528]    [Pg.265]    [Pg.112]    [Pg.48]    [Pg.224]    [Pg.369]    [Pg.331]    [Pg.767]    [Pg.124]    [Pg.126]    [Pg.40]    [Pg.339]    [Pg.485]    [Pg.50]    [Pg.389]    [Pg.391]    [Pg.569]    [Pg.573]    [Pg.574]    [Pg.489]    [Pg.613]    [Pg.300]    [Pg.65]    [Pg.130]    [Pg.108]    [Pg.93]   
See also in sourсe #XX -- [ Pg.569 ]




SEARCH



Pixel

Pixel, pixels

© 2024 chempedia.info