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Re: [hylafax-users] 1D MH v 2D MR/MMR
rortgiesen@xxxxxxxxxxxxxxxxxxxxxxx wrote:
A client of ours is complaining that the reception of our fax is too
"light", the log shows an excellent protocol exchange (no repeats or
indications of noise), but their machine asks for 1D MH. It returns no
make and/or model ( nsf:Equipment:unknown :Station: )
Would someone briefly explain the difference between these encryption
methods?
MH, MR, and MMR are all different *compression* methods for
monochromatic image data. All of them are lossless.
MH is a 1-D compression meaning that image data is only compressed
horizontally by "codes" that represent various lengths of black or white
pixels. Each scan line is separated from another with a special
end-of-line (EOL) code. Any error in one line of data will cause the
corruption of only that one scanline.
MR is a limited 2-D compression where lines are compressed horizontally
similar to how MH is, but a small number (usually 4) of scanlines are
also compressed vertically. So MR is a bit more complex than is MH.
Each scan line is also terminated with an EOL code. Any error in one
line of data can cause image corruption in the other referenced vertical
lines, so usually it's limited to 4.
MMR is very similar to MR with the main difference being that the number
of referenced vertical scanlines is unlimited... in other words, every
horizontal scanline is compressed horizontally but is also compressed in
reference to the line above it... all the way down the page, *AND* there
are no EOL codes used in MMR. Any error in the data will cause the
image to be truncated at the point of the error.
So the image data can be converted losslessly between MH, MR, and MMR,
however, usually MH will require more data for the same image than MR,
and MR will require more data for the same image than MMR. Again, there
will be no visible difference between them.
If your receivers are complaining that the image is too light then it
must have to do with the imaging process that is done *before* the fax
is sent... for example the PostScript-to-TIFF conversion.
Lee.
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