Thank you for your reply Guillaume
I work with gdal and otb_convert to produce thing like that, but i would 
like to calculate the value for histogram cuttoff (by default 2%) to 
produce pleiades data with good contrast and colorimetry. I would like to 
have the same color (the same stretch) between multitemp images to produce 
ready to use data for application like mosaicking...
I will share with you if i find an interesting workflow.
Cheers
Léo

Le mardi 3 janvier 2017 00:14:10 UTC+11, Guillaume Pasero a écrit :
>
> Hi Léo,
>
> In OTB there is an application to perform basic conversion : 
> otbcli_Convert.
>
> This applications allows to convert the dynamic of an image to an output 
> pixels type (linear and log transform supported). It will compute min/max 
> for each band and stretch this dynamic to the output range of your 
> destination pixel type (i.e. 0-255 for uint8). By default, 2% of the 
> histogram are cut on each side (can be tuned). You can also supply a mask 
> to discard pixels during the histogram computation (can be useful for 
> clouds). 
> Regards,
> Guillaume
>
> On 12/12/2016 04:10 AM, Léo HUERTA wrote:
>
> Hi everybody,
>
> I 'm currently working on Pleiades Datasets, and i would like to perform 
> automatic contrast enhancement and color correction, and i would like to 
> know if anybody know a workflow to do that...
> I would like to reproduce a thing like "OVR" from Pleiades Data 
> distributed by Airbus Defense & Space.
>
> I experimented software like Image magick with this kind of code:
> convert -monitor -modulate 100,130 -channel R -gamma 1 -channel G -gamma 
> 0.95 -channel B -gamma 0.875 -channel RGB -sigmoidal-contrast 11x40% 
> %OUT%BUNDLE_ORTHO_RGB.TIF -compress lzw %OUT%BUNDLE_ORTHO_RGB_CC.TIF
> It's not bad but, i spend lot of time trying to find the correct 
> parameters... And i don't know how to calculate them automatically.
>
> A good software (but not open source) do a thing like that: Spectral 
> discovery (by Geosage, an Australian company), this software perform L8 
> pre-processing (for data visualisation only): this soft read metada (MTL 
> files, like DIMAP for pleiades), to estimate parameters for stretching, and 
> scaling to produce a good looking L8 RGB tiff. I think it is possible to do 
> that with the dimap but i don't know how...
>
> I have read a good paper about color correction for sat imagery: 
> An Inquiry on Contrast Enhancement Methods for Satellite Images
>
> They speak about to very good algo: MSR (Multi Scale Retinex) and LCC 
> (Local Color Correction), but i don't know how to aplly them on my Pleiades 
> dataset.
>
>
> If anyone want to share about contrast enhancement and color correction, i 
> am very happy to share my ressource.
>
> Thank you for your time
>
> Léo
>
>
>
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