Values are given as mean ±SD between AIDR 3D (black) and FBP (red) and for the different levels of temporal averaging (1–8; x axis). We used two different quantitative parameters: the distance between 25%-75% of the maximal grey value (d; A, C, E, G) and the slope (m; B, D, F, H) at four different edges: edge 1 (A, B), edge 2 (C, D), edge 3 (E, F), and edge 4 (G, H). At all 4 edges, higher levels of temporal averaging and AIDR 3D showed poorer contour sharpness parameters (higher values for d, lower values for m) compared with FBP.</p
The accuracy with which a computer vision system is able to identify objects in an image is heavily ...
Each histogram in A,C,E plots the distribution of 148 independent estimates of correlation coefficie...
In a complete imaging system, consisting of a camera and a camera lens, four black and white films, ...
Illustration of the measurement of the two different contour sharpness parameters. We used two diffe...
<p>No significant difference was found for the contour sharpness based on the difference between 25%...
The comparison includes the distance between 25–75% of the maximal grey value (d; left diagram) and ...
Comparison of FBP (A, C, E, G, I, K) and AIDR 3D strong levels (B, D, F, H, J, L) and of the differe...
Averaged F0 contours of initial / penultimate / final narrow vs. neutral × accented vs. unaccented f...
<p>The DICOM images were interpolated by Vitrea fx. The measurement is based on a straight line that...
A large-scale psychophysical experiment was performed examining the effects of various simultaneous ...
Recently, problems of digital image sharpness determination are becoming more relevant and significa...
We present three research topics related to digital photography:image sharpness, image interpolation...
We recently proposed a region-based measure of image edge profile acutance to characterize the sharp...
Sharpening filters increase the depth of digital images by adding a fraction of their gradient. This...
<p>Signal (<b>a</b>) and noise (<b>b</b>) of the reconstructions FBP/QDS, AIDR 3D mild, AIDR 3D stan...
The accuracy with which a computer vision system is able to identify objects in an image is heavily ...
Each histogram in A,C,E plots the distribution of 148 independent estimates of correlation coefficie...
In a complete imaging system, consisting of a camera and a camera lens, four black and white films, ...
Illustration of the measurement of the two different contour sharpness parameters. We used two diffe...
<p>No significant difference was found for the contour sharpness based on the difference between 25%...
The comparison includes the distance between 25–75% of the maximal grey value (d; left diagram) and ...
Comparison of FBP (A, C, E, G, I, K) and AIDR 3D strong levels (B, D, F, H, J, L) and of the differe...
Averaged F0 contours of initial / penultimate / final narrow vs. neutral × accented vs. unaccented f...
<p>The DICOM images were interpolated by Vitrea fx. The measurement is based on a straight line that...
A large-scale psychophysical experiment was performed examining the effects of various simultaneous ...
Recently, problems of digital image sharpness determination are becoming more relevant and significa...
We present three research topics related to digital photography:image sharpness, image interpolation...
We recently proposed a region-based measure of image edge profile acutance to characterize the sharp...
Sharpening filters increase the depth of digital images by adding a fraction of their gradient. This...
<p>Signal (<b>a</b>) and noise (<b>b</b>) of the reconstructions FBP/QDS, AIDR 3D mild, AIDR 3D stan...
The accuracy with which a computer vision system is able to identify objects in an image is heavily ...
Each histogram in A,C,E plots the distribution of 148 independent estimates of correlation coefficie...
In a complete imaging system, consisting of a camera and a camera lens, four black and white films, ...