Time series super resolution algorithms.

Source: R/src.R

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

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

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 )