GIF.Rd
Read and write files in GIF format. Files can contain single images or multiple frames. Multi-frame images are saved as animated GIF's.
read.gif(filename, frame=0, flip=FALSE, verbose=FALSE)
write.gif(image, filename, col="gray", scale=c("smart", "never", "always"),
transparent=NULL, comment=NULL, delay=0, flip=FALSE, interlace=FALSE)
Character string with name of the file. In case of
read.gif
URL's are also allowed.
Data to be saved as GIF file. Can be a 2D matrix or 3D array. Allowed formats in order of preference:
array of integers in [0:255] range - this is format required by GIF
file, and unless scale='always'
, numbers will not be rescaled.
Each pixel i
will have associated color col[image[i]+1]
.
This is the only format that can be safely used with non-continuous color
maps.
array of doubles in [0:1] range - Unless scale='never'
the
array will be multiplied by 255 and rounded.
array of numbers in any range - will be scaled or clipped depending
on scale
option.
Request specific frame from multiframe (i.e., animated) GIF file.
By default all frames are read from the file (frame=0
). Setting
frame=1
will ensure that output is always a 2D matrix containing the
first frame. Some files have to be read frame by frame, for example: files
with subimages of different sizes and files with both global and local
color-maps (palettes).
Color palette definition. Several formats are allowed:
array (list) of colors in the same format as output of palette functions. Preferred format for precise color control.
palette function itself (ex. 'col=rainbow
'). Preferred
format if not sure how many colors are needed.
character string with name of internally defined palette. At the moment only "gray" and "jet" (Matlab's jet palette) are defined.
character string with name of palette function (ex.
'col="rainbow"
')
Usually palette will consist of 256 colors, which is the maximum allowed by GIF format. By default, grayscale will be used.
There are three approaches to rescaling the data to required [0, 255] integer range:
"smart" - Data is fitted to [0:255] range, only if it falls outside
of it. Also, if image
is an array of doubles in range [0, 1] than
data is multiplied by 255.
"never" - Pixels with intensities outside of the allowed range are clipped to either 0 or 255. Warning is given.
"always" - Data is always rescaled. If image
is a array of
doubles in range [0, 1] than data is multiplied by 255; otherwise it is
scaled to fit to [0:255] range.
In case of 3D arrays the data will be stored as animated GIF, and
delay
controls speed of the animation. It is number of hundredths
(1/100) of a second of delay between frames.
Comments in text format are allowed in GIF files. Few file viewers can access them.
By default data is stored in the same orientation as data
displayed by print
function: row 1 is on top, image x-axis
corresponds to columns and y-axis corresponds to rows. However function
image
adopted different standard: column 1 is on the bottom,
image x-axis corresponds to rows and y-axis corresponds to columns. Set
flip
to TRUE
to get the orientation used by image
.
Optional color number to be shown as transparent. Has to be an
integer in [0:255] range. NA's in the image
will be set to transparent.
GIF files allow image rows to be interlace
d, or
reordered in such a way as to allow viewer to display image using 4 passes,
making image sharper with each pass. Irrelevant feature on fast computers.
Display details sections encountered while reading GIF file.
Palettes often contain continuous colors, such that swapping palettes or
rescaling of the image date does not affect image apperance in a drastic way.
However, when working with non-continuous color-maps one should always provide
image in [0:255] integer range (and set scale="never"
), in order to
prevent scaling.
If NA
or other infinite numbers are found in the image
by
write.gif
, they will be converted to numbers given by transparent
.
If transparent
color is not provided than it will be created, possibly
after reshretching.
There are some GIF files not fully supported by read.gif
function:
"Plain Text Extension" is not supported, and will be ignored.
Multi-frame files with unique settings for each frame have to be read frame by frame. Possible settings include: frames with different sizes, frames using local color maps and frames using individual transparency colors.
Function write.gif
does not return anything.
Function read.gif
returns a list with following fields:
matrix or 3D array of integers in [0:255] range.
color palette definitions with number of colors ranging from 1
to 256. In case when frame=0
only the first (usually global)
color-map (palette) is returned.
Comments imbedded in GIF File
color number corresponding to transparent color. If none
was stated than NULL, otherwise an integer in [0:255] range. In order for
graphics:image
to display transparent colors correctly one
should use y$col[y$transparent+1] = NA
.
Displaying of images can be done through functions:
graphics:image
(part of R),
fields::image.plot
and fields::add.image
or
spatstat:plot.im
, and possibly many other functions.
Displayed image can be saved in GIF, JPEG or PNG format using several
different functions, like R2HTML:HTMLplot
.
Functions for directly reading and writing image files:
read.pnm
and pixmap::write.pnm
can
process PBM, PGM and PPM images (file types supported by ImageMagic software)
read.ENVI
and write.ENVI
from this package
can process files in ENVI format. ENVI files can store 2D images and 3D data
(multi-frame images), and are supported by most GIS (Geographic Information
System) software including free "freelook".
There are many functions for creating and managing color palettes:
fields::tim.colors
contains a palette similar to Matlab's
jet palette (see examples for simpler implementation)
gplots::rich.colors
contains two palettes of continuous colors.
Functions RColorBrewer::brewer.pal
and
epitools::colorbrewer.palette
contain tools for generating palettes.
grDevices::rgb
and grDevices::hsv
create palette from RGB or HSV 3-vectors.
grDevices::col2rgb
translates
palette colors to RGB 3-vectors.
Ziv, J., Lempel, A. (1977) An Universal Algorithm for Sequential Data Compression, IEEE Transactions on Information Theory, May 1977.
# visual comparison between image and plot
write.gif( volcano, "volcano.gif", col=terrain.colors, flip=TRUE,
scale="always", comment="Maunga Whau Volcano")
y = read.gif("volcano.gif", verbose=TRUE, flip=TRUE)
#> GIF image header
#> Global colormap with 256 colors
#> Comment Extension
#> Image [61 x 87]: 3585 bytes
#> GIF Terminator
#>
image(y$image, col=y$col, main=y$comment, asp=1)
# browseURL("file://volcano.gif") # inspect GIF file on your hard disk
# test reading & writing
col = heat.colors(256) # choose colormap
trn = 222 # set transparent color
com = "Hello World" # imbed comment in the file
write.gif( volcano, "volcano.gif", col=col, transparent=trn, comment=com)
y = read.gif("volcano.gif")
# This tested col==y$col, but colours may or may not have an alpha channel
# and for col this changed in R 4.0
stopifnot(volcano==y$image, trn==y$transparent, com==y$comment)
# browseURL("file://volcano.gif") # inspect GIF file on your hard disk
# create simple animated GIF (using image function in a loop is very rough,
# but only way I know of displaying 'animation" in R)
x <- y <- seq(-4*pi, 4*pi, len=200)
r <- sqrt(outer(x^2, y^2, "+"))
image = array(0, c(200, 200, 10))
for(i in 1:10) image[,,i] = cos(r-(2*pi*i/10))/(r^.25)
write.gif(image, "wave.gif", col="rainbow")
y = read.gif("wave.gif")
for(i in 1:10) image(y$image[,,i], col=y$col, breaks=(0:256)-0.5, asp=1)
# browseURL("file://wave.gif") # inspect GIF file on your hard disk
# Another neat animation of Mandelbrot Set
jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F",
"yellow", "#FF7F00", "red", "#7F0000")) # define "jet" palette
m = 400
C = complex( real=rep(seq(-1.8,0.6, length.out=m), each=m ),
imag=rep(seq(-1.2,1.2, length.out=m), m ) )
C = matrix(C,m,m)
Z = 0
X = array(0, c(m,m,20))
for (k in 1:20) {
Z = Z^2+C
X[,,k] = exp(-abs(Z))
}
image(X[,,k], col=jet.colors(256))
write.gif(X, "Mandelbrot.gif", col=jet.colors, delay=100)
# browseURL("file://Mandelbrot.gif") # inspect GIF file on your hard disk
file.remove("wave.gif", "volcano.gif", "Mandelbrot.gif")
#> [1] TRUE TRUE TRUE
# Display interesting images from the web
if (FALSE) { # \dontrun{
url = "http://www.ngdc.noaa.gov/seg/cdroms/ged_iib/datasets/b12/gifs/eccnv.gif"
y = read.gif(url, verbose=TRUE, flip=TRUE)
image(y$image, col=y$col, breaks=(0:length(y$col))-0.5, asp=1,
main="January Potential Evapotranspiration mm/mo")
url = "http://www.ngdc.noaa.gov/seg/cdroms/ged_iib/datasets/b01/gifs/fvvcode.gif"
y = read.gif(url, flip=TRUE)
y$col[y$transparent+1] = NA # mark transparent color in R way
image(y$image, col=y$col[1:87], breaks=(0:87)-0.5, asp=1,
main="Vegetation Types")
url = "http://talc.geo.umn.edu/people/grads/hasba002/erosion_vids/run2/r2_dems_5fps(8color).gif"
y = read.gif(url, verbose=TRUE, flip=TRUE)
for(i in 2:dim(y$image)[3])
image(y$image[,,i], col=y$col, breaks=(0:length(y$col))-0.5,
asp=1, main="Erosion in Drainage Basins")
} # }