Difference between revisions of "IIPImage"

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{{Infobox tool
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|purpose=IIPImage is an advanced high-performance imaging server and client for web-based streamed remote visualization of ultra resolution scientific imagery.
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|homepage=http://iipimage.sourceforge.net/
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|license=GNU GPL
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|platforms=Linux, Windows, Mac
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|function=Access
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|content=Image
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}}
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{{Infobox tool details
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|ohloh_id=iipimage
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}}
 
<!-- Use the structure provided in this template, do not change it! -->
 
<!-- Use the structure provided in this template, do not change it! -->
 
{{Infobox_tool
 
|purpose=A brief description
 
|image=image.png
 
|homepage=url
 
|license=
 
|platforms=
 
}}
 
 
<!-- Add one ore more categories to describe the function of the tool. Choose carefully, and view the list of existing categories first (see the Navigation sidebar on the left). The following are common category examples, remove those that don't apply -->
 
[[Category:Access]]
 
 
<!-- Add relevant categories to describe the content type that the tool addresses. Choose carefully, and view the list of existing categories first (see the Navigation sidebar on the left). If the tool works on any content type, do not add a category. The following are common category examples, remove those that don't apply -->
 
[[Category:Image]]
 
  
 
== Description ==
 
== Description ==
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== User Experiences ==
 
== User Experiences ==
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[http://iipimage.sourceforge.net/2013/06/open-access-with-iipimage-at-ghent-university-library/]
  
 
== Development Activity ==
 
== Development Activity ==
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{{Infobox_tool_details
 
|ohloh_id=iipimage
 
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Latest revision as of 15:13, 22 April 2021



IIPImage is an advanced high-performance imaging server and client for web-based streamed remote visualization of ultra resolution scientific imagery.
Homepage:http://iipimage.sourceforge.net/
License:GNU GPL
Platforms:Linux, Windows, Mac
Function:Access
Content type:Image




Description[edit]

IIPImage is an advanced high-performance feature-rich image server system for web-based streamed viewing and zooming of ultra high-resolution images. It is designed to be fast and bandwidth-efficient with low processor and memory requirements. The system can comfortably handle gigapixel size images as well as advanced image features such as both 8, 16 and 32 bit depths, CIELAB colorimetric images and scientific imagery such as multispectral images.

User Experiences[edit]

[1]

Development Activity[edit]