Sentence examples for optimization of the image from inspiring English sources

Since then, the imaging technique has been improved by optimization of the image sequences used, the introduction of new imaging sequences, and increased magnetic field strength in the MRI system.

This work introduces an allocation strategy based on the hypothesis that the fractional bitplane coder of JPEG2000 already generates optimal truncation points for the overall optimization of the image.

After the optimization of the image processing, the broken line and the edge burr of the rail defects are eliminated completely, and a smooth and connected track defect region is obtained, as shown in Fig. 7. Fig. 7 Morphological processing results based on stroke coding.

Finally, they could shed additional light on the relationship between the spatial field distribution and achievable image quality and in this way facilitate optimization of the images obtained using coded systems.

Open image in new window Fig. 3 Optimization of(f_{1}) Open image in new window Fig. 4 Optimization of(f_{2}) Open image in new window Fig. 5 Optimization of(f_{3}) Open image in new window Fig. 6 Optimization of(f_{4}) Open image in new window Fig. 7 Optimization of(f_{5}).

For the optimization of the watermarked image quality, Eq. 23 is rewritten as a performance index: fleft({widehat{lambda}}_{D^k}right)=frac{{leftVert {widehat{lambda}}_{D^k}-{lambda}_{D^k}rightVert}_{mathsf{2}}^{mathsf{2}}}{{mathsf{2}mathsf{55}}^{mathsf{2}}mn} (24).

The technique robustly identifies optimal weighted random sampling schemes and provides improved reconstruction fidelity for multiple 1D and 2D images, when compared to prior techniques for sampling optimization given knowledge of the image geometry.

We study in this paper two important goals, namely the optimization of image contrast and the maximization of the signal to noise per unit time.

For assessing the developments mathematically and objectively, task-based approaches are advocated for the optimization of image quality through the scanner design and imaging parameters.

Optimization of the ultrasound settings and image capture is the primary responsibility of the sonographer, who is the point person of the main contrast team.

In this paper, we address a new aggregated Hardware/Software (HW/SW) codesign approach to optimization of the digital signal and image processing techniques as required for enhanced remote sensing (RS) of the environment with the use of high-resolution array radar and synthetic aperture radar (SAR) systems.