Using data compression you can sometimes shrink the size of created files drastically. There are various compression methods available:
The files will be saved without any Reduction. The file size only depends on resolution and image type but not on page content.
This abbreviation derives from the involved developers: Lempel, Ziv and Welch. In contrast to RLE compression not only repeated single byte values are compressed, but complete patterns (strings). Particularly when there are many rasterized objects (images!) you will get the best results here.
This method compresses direct following bytes with the same
value. Hence it is also named Run Length Encoding
(RLE). This
method has advantages for large areas with absolutely even color
values.
This method uses a Huffman coding and correspondends to the format used for telefax messaging. According to this it is a good choice for documents with low image and high text content. Please keep in mind that CCITT ID compression can only be used for monochrome output!
Here are some data in practice. The output was done in 1270dpi monochrome using a 60lpcm raster (45 degrees).
The respective compression rates differ for different documents, of course. The samples mentioned above can only be seen as landmarks.
