Usage
awsraw(object, hmax = 4, aws = TRUE, wb = c(1, 1, 1), cspace = "Adobe", ladjust = 1, maxrange=TRUE,
lkern = "Triangle", graph = FALSE, max.pixel = 400, compress = TRUE)
Arguments
object
an object of class adimpro containing the RAW image data.
See read.raw for creating such objects. hmax
maximal bandwidth to use in the smoothing algorithm.
aws
use adaptive weights if aws==TRUE.
wb
Vector containing factors for the three color chanels, allows to change the white balance.
cspace
Color space of the result,
ladjust
Factor for the critical value $\lambda$. Defaults to 1, smaller values
increase sensitivity but may result in isolated noisy pixel. Values larger than 1 give smoother up to cartoon
like results.
maxrange
If TRUE increase range of values to maximum.
lkern
Specifies the location kernel. Defaults to
"Triangle", other choices are "Quadratic", "Cubic" and "Uniform".
The use of "Triangle" corresponds to the Epanechnicov kernel
nonparametric kernel regression.
graph
(logical). If graph=TRUE intermediate results are
illustrated after each iteration step. Defaults to FALSE.
max.pixel
Maximum dimension of images for display
if graph=TRUE. If the true dimension is larger, the
images are downscaled for display. See also show.image. compress
logical, determines if image data are stored in raw-format.