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2. XPS Annotator - Wikipedia

   en.wikipedia.org/wiki/XPS_Annotator

   XPS Annotator is a document management software program for Microsoft Windows that allows users to view, annotate, convert, sign and print XPS documents. [ 1 ] [ 3 ] The software was first released on 12 March 2009 (version 1.0). [ 4 ]

3. Image conversion - Wikipedia

   en.wikipedia.org/wiki/Image_conversion

   Data in a RAW-file is structured according to the Bayer filter's pattern in cameras that use a single image sensor. Debayering, the process of obtaining bitmap data from a RAW-image is always a lossy operation. [citation needed] In addition, some downsampling is always performed, again reducing image information.

4. Help:WordToWiki - Wikipedia

   en.wikipedia.org/wiki/Help:WordToWiki

   Open your document in Word, and "save as" an HTML file. Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page.

5. Help:Creation and usage of media files - Wikipedia

   en.wikipedia.org/wiki/Help:Creation_and_usage_of...

   Files from Wikimedia Commons use the same syntax described below, there is no extra step needed. The maximum size of an uploaded file is 100 megabytes. The following file types may be uploaded: png, gif, jpg/jpeg, xcf, pdf, mid, ogg/ogv/oga, svg, djvu and webm. note: pdf and djvu are intended primarily for projects like Wikisource.

6. Universal Document Converter - Wikipedia

   en.wikipedia.org/wiki/Universal_Document_Converter

   Universal Document Converter is a virtual printer and PDF creator for Microsoft Windows developed by fCoder Group. It can create PDF documents (as raster images or searchable text) and files in graphic formats JPEG, TIFF, PNG, GIF, PCX, DCX and BMP. [3] It can create graphic or PDF files from any document that can be printed.

7. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...