timeSeriesSuperResolution: Time series super resolution algorithms.

In brianInvo/xrayr: Static and dynamic xray analytics

Description

Implements several different strategies for super-resolution from time series data.

Usage

timeSeriesSuperResolution(fixedStaticImage, mappedTimeSeries,
  method = "average", param1, param2)

Arguments

fixedStaticImage	target image space
mappedTimeSeries	pre-aligned to the fixed space, not necessarily the same resolution
method	one of average, sharpen, majon
param1	generic weight term for sharpen or mesh size for majon
param2	number of levels for majon

Value

super resolution image

Author(s)

Avants BB

Examples

library( magrittr )
library( ANTsRCore )
library( ANTsR )
temp1 = resampleImage( ri(1), 8 )
temp2 = resampleImage( ri(1), 8 )
temp3 = resampleImage( ri(1), 4 )
tarspace = makeImage( c( dim( temp1 ), 2 ) , spacing = c( 8, 8, 1 ) )
pdcr = mergeListToNDImage( tarspace, list( temp1, temp2 ) )
sup = timeSeriesSuperResolution( temp3, pdcr )

brianInvo/xrayr documentation built on May 9, 2019, 8:13 a.m.