Re: [OSGeo-Discuss] Israel and Romanian local chapter?

2008-02-26 Thread Micha Silver

Hi Tyler:

I'd certainly be pleased if there were more OSGeo activity here in 
Israel (and adoption of other open source software as well). However 
ESRI is very solidly implanted here. For the most part Israelis equate 
GIS with Arcview, and are not aware of alternatives. In my estimation, 
there's an uphill climb before reaching the level where we can start 
talking about a local chapter.



Cheers,

Micha



Tyler Mitchell (OSGeo) wrote:

Is anyone on this list interested in or working on local chapter work 
in Israel or Romania?

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Re: [OSGeo-Discuss] Israel and Romanian local chapter?

2008-02-26 Thread Paolo Cavallini
Micha Silver ha scritto:

 ESRI is very solidly implanted here. For the most part Israelis equate
 GIS with Arcview, and are not aware of alternatives. In my estimation,
 there's an uphill climb before reaching the level where we can start
 talking about a local chapter.

A more positive word: everybody thought the same just a few years ago,
also here in Italy, but now things are definitely changed: our national
reference INSPIRE implementations are largely based on GFOSS, and the
Italian community is sizeable, mature, very active and vociferous.
Things *can* change, and they do it rapidly.
All the best.
pc
-- 
Paolo Cavallini, see: http://www.faunalia.it/pc
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RE: [OSGeo-Discuss] 'lossless' JPEG2000

2008-02-26 Thread Michael P. Gerlek
François:

When you say Mega-Images (- geo-sized images), just how big are you talking 
about?

If you are in the 10-100GB range, I/LizardTech would be very interested in 
talking with you about the project, and also about supporting some of the geo 
metadata conventions.  (Especially if you can do GB-sized data sets in less 
than 1GB of RAM without requiring the image be tiled!)  ((Do you have any 
benchmark data you can share?)

-mpg

 

 -Original Message-
 From: [EMAIL PROTECTED] 
 [mailto:[EMAIL PROTECTED] On Behalf Of 
 François-Olivier Devaux
 Sent: Tuesday, February 26, 2008 12:47 AM
 To: discuss@lists.osgeo.org
 Subject: [OSGeo-Discuss] 'lossless' JPEG2000
 
 Hi,
 
 Norman Vine has pointed to me this discussion about JPEG 2000, and I 
 thought it might be interesting to give you a small overview on JPEG 
 2000 and present the OpenJPEG library on which we are working.
 
 
 FIELDS WHERE JPEG 2000 IS USED
 
 JPEG 2000 is becoming the reference in image compression for 
 professional applications, where precision and flexibility is really 
 necessary.
 
 The most know field using JPEG 2000 is Digital Cinema, where 
 JPEG 2000 
 has been favored against MPEG2 and H.264. Linked to that field, High 
 Quality Broadcast applications are also turning to JPEG 2000 
 because of 
 its quality and scalability (low resolution versions can be extracted 
 directly from a high resolution sequence without any re-encoding, and 
 JPEG 2000 sequences are encoded in intra which eases video editing).
 
 More close to your field is Archiving, where we are feeling a 
 trend to 
 select JPEG 2000 as compression algorithm
 http://www.egov.vic.gov.au/index.php?env=-inlink/detail:m1780-
1-1-8-s-0:l-9669-1-1--
 
 Medical imaging applications, where lossless compression is a 
 important 
 requirement, are also taking full advantage of JPEG 2000 
 remote browsing 
 possibilities (with the JPIP protocol)
 http://www.earthtimes.org/articles/show/aware-inc-to-demonstra
te-groundbreaking-medical-imaging-streaming-solution-at- himss08,290686.shtml
 
 -
 JPEG 2000 FEATURES
 
 The JPEG 2000 features that are interesting for GeoSpatial 
 Imagery is of 
 course the ability to achieve lossless compression, the scalability 
 (lower quality and resolutions as well as spatial areas can 
 be extracted 
 from a compressed file, without the need of decompression the entire 
 file), the high precision (most codecs can at least handle 16 
 bits per 
 component, and up to 256 components) and the fact that the 
 core coding 
 system can be obtained free of charge.
 JPEG 2000 also has an inherent robustness higher than most 
 compression 
 schemes (JPEG, ...) and a great protocol to interactively remotely 
 browse images called JPIP.
 
 -
 OPENJPEG
 
 OpenJPEG, is an open-source JPEG 2000 library. It has been 
 very recently 
 remodeled by the CNES and the french company CS to meet the 
 requirements 
 of applications using Mega-Images (- geo-sized images). Independent 
 access to tiles has been improved, in order to increase the library 
 encoding and decoding performances. This new version should be made 
 accessible to users at the beginning of March. We are very 
 happy of the 
 performances of this new version, and are open to new contributions.
 Regarding other JPEG 2000 open source solutions in your 
 field, the GDAL 
 library has a JPEG 2000 module that is based on Jasper, which 
 is a great 
 library, but has unfortunately not evolved for the last years.
 
 -
 
 Cheers,
 
 François
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RE: [OSGeo-Discuss] 'lossless' JPEG2000

2008-02-26 Thread Bruce . Bannerman
IMO:


Michael,

Again, I don't pretend to be an expert on JPEG2000. However, I'd like to 
know more about the format for future reference.

Does the wiki article at the following URL represent a good overview of 
the format?

http://en.wikipedia.org/wiki/JPEG_2000



If it is accurate, there is a section that leads me to conclude that the 
format is not suitable for a lot of remotely sensed spatial imagery:


snip Color components transformation
Initially, images have to be transformed from the RGB color space to 
another color space, leading to three components that are handled 
separately. There are two possible choices:... /snip


If this *is* the case, then I wouldn't be able to use the format to store 
multi and hyper spectral imagery (ignoring other JP2 issues).


As to what format are we using currently:The source format that the 
data came in with appropriate Geophysics, ERMapper and in some cases Erdas 
Imagine conversions.

What are we using in the future:   To be determined, probably a database 
oriented solution.


As to data corruption:   Many image processing algorithims and processes 
result in data loss. The aim for most people is to understand what is 
acceptable and to minimise the corruption of their data.

In our situation, some of the imagery may result from many millions of 
dollars spent in capture and processing. Much of it is irreplacable. All 
of it must be protected for future use.


Bruce





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RE: [OSGeo-Discuss] 'lossless' JPEG2000

2008-02-26 Thread Michael P. Gerlek
I've not read the whole Wikipedia article, but the statement images
have to be transformed from the RGB color space to another color space
is indeed incorrect.  Images that are 3-banded MAY be encoded with the
YCC transform, but this is not required; images with some other number
of bands do NOT undergo a color transform step.


If you're using ERMapper (ECW) files now, you're already deep into the
world of lossy transforms.  Imagine files (.img) are lossless, I
believe, so you're safe there.


My offer to encode a few GB of sample data for you still holds :-)

-mpg 

 





From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED]
Sent: Tuesday, February 26, 2008 2:12 PM
To: OSGeo Discussions
Subject: RE: [OSGeo-Discuss] 'lossless' JPEG2000



IMO: 


Michael, 

Again, I don't pretend to be an expert on JPEG2000. However, I'd
like to know more about the format for future reference. 

Does the wiki article at the following URL represent a good
overview of the format? 

http://en.wikipedia.org/wiki/JPEG_2000 



If it is accurate, there is a section that leads me to conclude
that the format is not suitable for a lot of remotely sensed spatial
imagery: 


snip Color components transformation 

Initially, images have to be transformed from the RGB color
space http://en.wikipedia.org/wiki/Color_space  to another color
space, leading to three components that are handled separately. There
are two possible choices:... /snip 


If this *is* the case, then I wouldn't be able to use the format
to store multi and hyper spectral imagery (ignoring other JP2 issues). 


As to what format are we using currently:The source format
that the data came in with appropriate Geophysics, ERMapper and in some
cases Erdas Imagine conversions. 

What are we using in the future:   To be determined, probably a
database oriented solution. 


As to data corruption:   Many image processing algorithims and
processes result in data loss. The aim for most people is to understand
what is acceptable and to minimise the corruption of their data. 

In our situation, some of the imagery may result from many
millions of dollars spent in capture and processing. Much of it is
irreplacable. All of it must be protected for future use. 


Bruce






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personal, confidential,
legally privileged and/or copyright. No part of it should be
reproduced, adapted or communicated without the prior written consent of
the copyright owner. 

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remove viruses.

If you have received this email in error, please notify the
sender by return email, delete it from your system and destroy any
copies. You are not authorised to use, communicate or rely on the
information contained in this email.

Please consider the environment before printing this email.

 

 

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