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In this step, well-focused images are obtained by refined compensation of the residual quadratic and cubic phase terms, which is carried out by estimating the parameters through maximizing the image contrast.
Finally, well-focused images are obtained by refined parametric compensation of the residual quadratic and cubic phase terms, which is carried out by estimating the parameters through maximizing the image contrast.
For our work, optimization of the coherent-transmitter path is achieved by maximizing the image field irradiance and peak irradiance.
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When the signal phase history due to the target radial motion has to be approximated with high order polynomial models, classic optimization techniques fail when attempting to either maximize the image contrast or minimize the image entropy.
Firm or larger breasts (or both) require greater levels of compression force to both spread out and separate the breast tissue in order to maximize the image clarity.
To prevent the tracker from following multiple cells, we use a Markov random field (MRF) to model the spatial and temporal covariation of the cells and to maximize the image forces and the MRF-induced constraint on the trackers.
The optimization criteria was set to increase image contrast by maximizing the structural image derivative.
Alignment of the illumination and imaging channels within the probe was accomplished by adjusting the rotation angle of the illumination fiber for maximizing the resulting image intensity.
This algorithm finds the tracks over all the images which maximizes the per image detection score (weighted by the location prior) while minimizing the in-between image distance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com