Sentence examples for estimates of image from inspiring English sources

In this method, the image sequence is first convolved with a spatiotemporal Gaussian operator to eliminate noise and to smooth high contrasts that could lead to poor estimates of image derivatives.

In this method, the image sequence is first convolved with a spatio-temporal Gaussian operator to eliminate noise and to smooth high contrasts that could lead to poor estimates of image derivatives.

Because contrast does not affect the perceived speed of pursued stimuli, the change to the Aubert-Fleischl phenomenon must be driven solely by the lower estimates of image motion brought about by decreasing contrast.

A global estimate of image noise variance was used as a no-reference noisiness metric in [10].

Then, we present our argument for using the evidential value score output by EVA as an estimate of image quality, as we do in our second experiment.

The values of the SNR seen in individual images were then averaged over all 50 replicates to obtain a more precise estimate of image SNR. Figure 1 shows an example of a ROI used to determine the SNRL. Figure 2A shows the relation between the measured SNRL and the patient's body mass for the Biograph TruePoint after OSEM3D reconstruction.

Easy Leaf Area uses a red calibration area of known area in each image as a scale to calibrate leaf area estimates regardless of image source, eliminating the need for assessing camera distance and focal length or measuring ruler length manually (Baker et al., 1996).

Finally, the least square integration method is utilized to recover the ideal image by integrating the deblurred estimates of subspace images with the degraded image.

Because our method is based on the reconstruction of optical data within a common registered space (cortical surface space), the group-level reconstructions allow for the estimate of images that are simultaneously consistent with all of the subjects' data.

Anatomical phantoms are useful for providing more general qualitative and quantitative estimates of clinical image quality or for analysis of complex image processing regimens (such as a dosimetry protocol) [6 10].

Using different denoising schemes, we can consider the results as different estimates of the image.