<p>Reconstruction measure using Structural Similarity Index CW-SSIM (top row) and resolution, calculated as the minimum inter line distance (bottom row) at indicated outlier noise densities. A total of 100 random simulations were performed at each data density. Column (A) Position noise of 0 pixel. Column (B) Position noise of 2 pixels.</p
The structural similarity (SSIM) index has been shown to be a good perceptual image quality predicto...
<p>Columns from left to right are the illustrations of cross section, coronal section and sagittal s...
Abstract—We show that the structural similarity index is able to register stochastic resonance or im...
<p>A total of 100 random simulations were performed at each data density and at outlier noise densit...
<p>Column (A) Mask (B) outlier noise density 0 (C) outlier noise density 0.005 (D) outlier noise 0.0...
<p>The lines for different values of α are plotted as a function of ISI and CoV for ISI (grey lines)...
<p>Reconstruction experiment for a simulated random subsampling of phase encoding lines to 20% of th...
The structural similarity (SSIM) index has been studied from different perspectives in the last deca...
<p>It also contains several crossings of lines of different brightness at small angles. The image is...
A. SimDivers represented as circle areas. B. Dependence of SimDivers from depth fitted by 5th order ...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...
Similarity/distance measures play an important role in various signal/image processing applications ...
<p>The main graph shows the mean Eucledian distance between measured and reconstructed marker positi...
In image processing, image similarity indices evaluate how much structural information is maintained...
<p>We determined the distributions of nearest obstacle distances in a binary surrogate data set and ...
The structural similarity (SSIM) index has been shown to be a good perceptual image quality predicto...
<p>Columns from left to right are the illustrations of cross section, coronal section and sagittal s...
Abstract—We show that the structural similarity index is able to register stochastic resonance or im...
<p>A total of 100 random simulations were performed at each data density and at outlier noise densit...
<p>Column (A) Mask (B) outlier noise density 0 (C) outlier noise density 0.005 (D) outlier noise 0.0...
<p>The lines for different values of α are plotted as a function of ISI and CoV for ISI (grey lines)...
<p>Reconstruction experiment for a simulated random subsampling of phase encoding lines to 20% of th...
The structural similarity (SSIM) index has been studied from different perspectives in the last deca...
<p>It also contains several crossings of lines of different brightness at small angles. The image is...
A. SimDivers represented as circle areas. B. Dependence of SimDivers from depth fitted by 5th order ...
The structural similarity (SSIM) metric and its multi-scale ex-tension (MS-SSIM) evaluate visual qua...
Similarity/distance measures play an important role in various signal/image processing applications ...
<p>The main graph shows the mean Eucledian distance between measured and reconstructed marker positi...
In image processing, image similarity indices evaluate how much structural information is maintained...
<p>We determined the distributions of nearest obstacle distances in a binary surrogate data set and ...
The structural similarity (SSIM) index has been shown to be a good perceptual image quality predicto...
<p>Columns from left to right are the illustrations of cross section, coronal section and sagittal s...
Abstract—We show that the structural similarity index is able to register stochastic resonance or im...
DOI
Add to ORKG