Thanks Jordi,

using the ram option did, indeed, help to eliminate the stripes (but i
still get a blank image. well an image with a single value).
we can not use BandMath because we want to convert 100+ images and do not
know their min and max values a priori.


On Wed, Dec 16, 2015 at 2:32 PM, Jordi Inglada <[email protected]>
wrote:

> Raul ZM <[email protected]> wrote:
> >
> > Hi there,
> >
> > we are trying to transform a float32 tiff image into a uint8 (so from
> decimals to the interval 0 to 255).
> > For this we have tested Convert:
> > olbcli_Convert -in file1.tiff -out file2.tif uint8 -type linear (btw,
> what would be type "none"?)
> >
> > and Rescale:
> > otbcli_Rescale -in file1.tiff -out file2.tif uint8 -outmin 0 -outmax 255
> (also tried without the last three parameters as these are the default
> values)
> >
> > in both cases we get blank images or an stripped image that has nothing
> to do with the original file.
> > Any idea/suggestion of what might be going on?
> >
>
> Hi,
>
> Images with stripes can appear due to streaming (or multi-threading, I
> am not sure) because the min/max values for the input image are not
> computed globally. I guess that you can avoid that by using the -ram
> option for streaming.
>
> But if you know the range of your input image, the easiest is to use the
> BandMath application to do the operation and choose the output pixel
> value:
>
> otbcli_BandMath -il float.tif -out rescaled.tif uint8 -exp
> "(im1b1-min)/(max-min)*255"
>
> If you have several bands, you will have to adapt the expression.
>
> Jordi
>
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