A method of estimating a value (311-313) indicative of a signal component of an input imaging dataset (190) includes determining a normalized Fourier-domain representation of the input imaging dataset (190); and for each one of multiple low-pass filters (320) having varying cut-off frequencies (301, 301-1, 301-2): determining the respective low-pass filtered normalized Fourier-domain representation of the input imaging dataset (190) based on the normalized Fourier-domain representation of the input imaging dataset and performing a respective comparison of the respective low-pass filtered normalized Fourier-domain representation of the input imaging dataset with the input imaging dataset; and based on results (302, 303) of the comparisons as...
The development and adoption of standard image quality measurement and analysis methods have helped ...
The continued development of new and fiindamentally different classes of imaging spectrometer has in...
Signal‐to‐Noise Ratio as a Function of Imaging Parameters (Azim Celik, General Electric Company, Mil...
The MRI analysis pipeline consists of a data-acquisition stage defined by a protocol, an estimation ...
Purpose: Image quality indices based upon model observers are promising alternatives to laborious hu...
The global signal-to-noise of a data set (spectrum, image...) can be quantitatively evaluated if a s...
This dataset contains the experimental results, adversarial patches and model parameters used in the...
<p>The blue overlay shows the combined output of three 1-d filters whilst the green overlay shows th...
Comparison with existing research in-terms of classification accuracy while using 15-scene image dat...
Imaging is often used in scientific applications as a measurement tool. The location of a target, br...
The paper proposes a new numerical measure for filtering quality assessment of additive white Gaussi...
In some signal reconstruction problems, a priori information can be used to set up observation equat...
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
The continued development of new and fundamentally different classes of imaging spectrometer has inc...
<p>Comparison of the obtained results for the different detection algorithms (considering all the sa...
The development and adoption of standard image quality measurement and analysis methods have helped ...
The continued development of new and fiindamentally different classes of imaging spectrometer has in...
Signal‐to‐Noise Ratio as a Function of Imaging Parameters (Azim Celik, General Electric Company, Mil...
The MRI analysis pipeline consists of a data-acquisition stage defined by a protocol, an estimation ...
Purpose: Image quality indices based upon model observers are promising alternatives to laborious hu...
The global signal-to-noise of a data set (spectrum, image...) can be quantitatively evaluated if a s...
This dataset contains the experimental results, adversarial patches and model parameters used in the...
<p>The blue overlay shows the combined output of three 1-d filters whilst the green overlay shows th...
Comparison with existing research in-terms of classification accuracy while using 15-scene image dat...
Imaging is often used in scientific applications as a measurement tool. The location of a target, br...
The paper proposes a new numerical measure for filtering quality assessment of additive white Gaussi...
In some signal reconstruction problems, a priori information can be used to set up observation equat...
<p>Comparison of the performance by different methods on IRMA benchmark dataset.</p
The continued development of new and fundamentally different classes of imaging spectrometer has inc...
<p>Comparison of the obtained results for the different detection algorithms (considering all the sa...
The development and adoption of standard image quality measurement and analysis methods have helped ...
The continued development of new and fiindamentally different classes of imaging spectrometer has in...
Signal‐to‐Noise Ratio as a Function of Imaging Parameters (Azim Celik, General Electric Company, Mil...