Thanks Andrea, it is exactly the case, the problem we are facing is that we use 
the same raster to overlay on a map and to check if a specified point is on the 
"red" part of the raster or on the "white" one.
The issue we have is that sometimes the results are different (obviously the 
check for the specified point is always right, while the visual result can be 
affected by "artifacts").
I assume there is no way to force a rescale before the reprojection, and that 
the only solutions would be either to reproject and rescale the whole tiff to a 
new resolution/reference or to vectorize the raster into huge rectangles: am I 
right?

Cheers

Marco Papetti

From: [email protected] [mailto:[email protected]] On Behalf Of Andrea 
Aime
Sent: sabato 1 settembre 2012 9.55
To: Papetti, Marco
Cc: [email protected]
Subject: Re: [Geoserver-users] Raster 23032 -> 900913 reprojection issue (no 
oblique pixels)

On Fri, Aug 31, 2012 at 6:15 PM, Papetti, Marco 
<[email protected]<mailto:[email protected]>> wrote:
Hi,

I got a doubt about geoserver reprojecting raster from EPSG:23032 to 
EPSG:900913 correctly.
Here is the output of part of the reprojection in gwc layer demo, using 
EPSG:900913 and png as output parameter: the source is just using 2 values, and 
I use a simple RasterSymbolizer to style it:

https://www.evernote.com/shard/s22/sh/23b9838f-f54a-4bbb-a083-00225c269090/89af1f9eb92ddbbc8d6d9a0687311203

The second screenshot is from QuantumGIS, the same input, using 900913 as 
project SR and checking "enable reproject on the fly" flag.

http://www.evernote.com/shard/s22/sh/e0f6a78f-f771-47f4-9e05-f338397ff9e3/35702c91f3a993b78377ebd1cbed53cf

It includes "oblique" pixel, which now seems normal to me, considering the 
reprojection, but that are not included in the geoserver generated view.
Am I missing something in the layer/store configuration.

The output has large blocks of data, are you going beyond the native resolution 
of the raster, so that a pixel
in the original image is inflated like 50 times?
GeoServer does not rescale the data before reprojecting it, it first reproject 
and then scales up, which may account
for the difference.

Cheers
Andrea

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