readPNG | R Documentation |
Reads an image from a PNG file/content into a raster array.
readPNG(source, native = FALSE, info = FALSE)
source |
Either name of the file to read from or a raw vector representing the PNG file content. |
native |
determines the image representation - if |
info |
logical, if |
If native
is FALSE
then an array of the dimensions height
x width x channels. If there is only one channel the result is a
matrix. The values are reals between 0 and 1. If native
is
TRUE
then an object of the class nativeRaster
is
returned instead. The latter cannot be easily computed on but is the
most efficient way to draw using rasterImage
.
Most common files decompress into RGB (3 channels), RGBA (4 channels),
Grayscale (1 channel) or GA (2 channels). Note that G and GA images
cannot be directly used in rasterImage
unless
native
is set to TRUE
because rasterImage
requires
RGB or RGBA format (nativeRaster
is always 8-bit RGBA).
As of png 0.1-2 files with 16-bit channels are converted in full
resolution to the array format, but the nativeRaster
format only
supports 8-bit and therefore a truncation is performed (eight least
significant bits are dropped) with a warning if native
is
TRUE
.
rasterImage
, writePNG
# read a sample file (R logo) img <- readPNG(system.file("img", "Rlogo.png", package="png")) # read it also in native format img.n <- readPNG(system.file("img", "Rlogo.png", package="png"), TRUE) # if your R supports it, we'll plot it if (exists("rasterImage")) { # can plot only in R 2.11.0 and higher plot(1:2, type='n') if (names(dev.cur()) == "windows") { # windows device doesn't support semi-transparency so we'll need # to flatten the image transparent <- img[,,4] == 0 img <- as.raster(img[,,1:3]) img[transparent] <- NA # interpolate must be FALSE on Windows, otherwise R will # try to interpolate transparency and fail rasterImage(img, 1.2, 1.27, 1.8, 1.73, interpolate=FALSE) } else { # any reasonable device will be fine using alpha rasterImage(img, 1.2, 1.27, 1.8, 1.73) rasterImage(img.n, 1.5, 1.5, 1.9, 1.8) } }
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