Ok... I'm using the rimage package to manipulate an image. So, the image I
have in R is of the type imagematrix, which is a matrix with the pixel
values of the R, G anf B bands. What I'm doing is applying some operation
(like laplacian filter for example) and plotting the result as an image:

> library(rimage)
> image
size:  458 x 372
type:  rgb
> laplacian_result <- normalize(laplacian(image))
> postscript("laplacian_result")
> plot.imagematrix(laplacian)
> dev.off()

Talita

2009/4/11 Ben Bolker <bol...@ufl.edu>

>
>  Do you mean you're importing jpegs or other bitmaps into
> R and writing them out (possibly with annotation etc.) as
> PostScript?
>  Can you give a small example of some sort?  It would
> help for giving advice.
>
>
>
>
> Talita Perciano wrote:
> > Thank you for the answer. Just to clear things out, I'm generating plots
> of rgb images.
> >
> > Talita
> >
> > 2009/4/11 Ben Bolker <bol...@ufl.edu<mailto:bol...@ufl.edu>>
> >
> >
> > Talita Perciano wrote:
> >> Dear users,
> >>
> >> I'm generating some images in R to put into a document that I'm
> producing
> >> using Latex. This document in Latex is following a predefined model,
> which
> >> does not accept compilation with pdflatex, so I have to compile with
> latex
> >> -> dvi -> pdf. Because of that, I have to generate the images in R with
> >> postscript (I want a vector format to keep the quality). The problem is
> >> that
> >> the files of the images are very huge (10MB) and I have many images to
> put
> >> into the pdf document.
> >> I want to know if there is a way to reduce the size of those images
> >> generated by R using postscript.
> >>
> >> Thank you in advance,
> >>
> >> Talita
> >>
> >>
> >
> >  Not in any extremely easy way.  The fundamental problem is
> > that if you have a whole lot of points in your graph, it's hard
> > to make them take less file space even if they're overplotted
> > (and hence not visible in the actual image).
> >  This has been discussed in various forms on the R list in the past,
> > but I can't locate those posts easily.  It's a little hard without
> knowing
> > what kind of plot you're generating, but I'm assuming that you have
> > many, many points or lines in the graphic (or a very high-resolution
> > image plot), and that the details don't all show up in the figure anyway.
> > A few general strategies:
> >
> >  * thin the points down to a random subset
> >  * use a 2D density plot or hexagonal binning
> >  * create a  bitmap (PNG) plot, then use image
> > manipulation tools (ImageMagick etc.) to convert that back to
> > a PostScript file
> >  * there was some discussion earlier about whether one
> > could embed a bitmap of just the internals of the plot, leaving
> > the axes, labels etc. in vector format, but I don't think that
> > came to anything
> >
> >  good luck
> >   Ben Bolker
> >
> > --
> > View this message in context:
> http://www.nabble.com/Help-with-postscript-%28huge-file-size%29-tp23003428p23004309.html
> > Sent from the R help mailing list archive at Nabble.com.
> >
> > ______________________________________________
> > R-help@r-project.org<mailto:R-help@r-project.org> mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
> >
> >
> > --
> > Talita Perciano
> > Instituto de Matemática e Estatísitca
> > Universidade de São Paulo - USP
> > PhD Student in Computer Science
> > São Paulo, SP, Brazil
> > Tel: +55 11 8826 7092
> >
> > "Success is not final, failure is not fatal: it is the courage to
> continue that counts."
> > (Winston Churchill)
> >
>
>
> --
> Ben Bolker
> Associate professor, Biology Dep't, Univ. of Florida
> bol...@ufl.edu / www.zoology.ufl.edu/bolker
> GPG key: www.zoology.ufl.edu/bolker/benbolker-publickey.asc
>
>


-- 
Talita Perciano
Instituto de Matemática e Estatísitca
Universidade de São Paulo - USP
PhD Student in Computer Science
São Paulo, SP, Brazil
Tel: +55 11 8826 7092

"Success is not final, failure is not fatal: it is the courage to continue
that counts."
(Winston Churchill)

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