Difference between revisions of "IIPImage"
Jump to navigation
Jump to search
(Created page with "<!-- Use the structure provided in this template, do not change it! --> {{Infobox_tool |purpose=A brief description |image=image.png |homepage=url |license= |platforms= }} <...") |
|||
| (3 intermediate revisions by one other user not shown) | |||
| Line 1: | Line 1: | ||
| + | {{Infobox tool | ||
| + | |purpose=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=Image | ||
| + | }} | ||
| + | {{Infobox tool details | ||
| + | |ohloh_id=iipimage | ||
| + | }} | ||
<!-- Use the structure provided in this template, do not change it! --> | <!-- Use the structure provided in this template, do not change it! --> | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
== Description == | == Description == | ||
| Line 19: | Line 16: | ||
== User Experiences == | == User Experiences == | ||
| − | + | [http://iipimage.sourceforge.net/2013/06/open-access-with-iipimage-at-ghent-university-library/] | |
== Development Activity == | == Development Activity == | ||
| Line 25: | Line 22: | ||
<!-- Add the Ohloh.com ID for the tool, if known. --> | <!-- Add the Ohloh.com ID for the tool, if known. --> | ||
| − | |||
| − | |||
| − | |||
Latest revision as of 15:13, 22 April 2021
Error in widget Ohloh Project: unable to write file /var/www/html/extensions/Widgets/compiled_templates/wrt673e74b2175af8_65434360
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.