GMSD: Gradient Magnitude Similarity Deviation
In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing
View source: R/superResolutionUtilities.R
GMSD R Documentation
Gradient Magnitude Similarity Deviation
Description
A fast and simple metric that correlates to perceptual quality
Usage
GMSD(x, y)
Arguments
x
input image.
y
input image.
Value
scalar
Author(s)
Avants BB
Examples
library( ANTsR )
r16 <- antsImageRead( getANTsRData( 'r16' ) )
r85 <- antsImageRead( getANTsRData( 'r85' ) )
value <- GMSD( r16, r85 )
ANTsX/ANTsRNet documentation built on April 23, 2024, 1:24 p.m.
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View source: R/superResolutionUtilities.R
| GMSD | R Documentation |
Gradient Magnitude Similarity Deviation
Description
A fast and simple metric that correlates to perceptual quality
Usage
GMSD(x, y)
Arguments
x |
input image. |
y |
input image. |
Value
scalar
Author(s)
Avants BB
Examples
library( ANTsR )
r16 <- antsImageRead( getANTsRData( 'r16' ) )
r85 <- antsImageRead( getANTsRData( 'r85' ) )
value <- GMSD( r16, r85 )
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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