Just read through a few posts regarding the 1D (mk I) when it was
first released in the fall of 11/2001. Interesting to note that
some people were pleased, but quite a few posts from people
concerned and upset about visible moire in early sample photos
posted on the web The tone is almost identical to what we are
seeing now, but on an issue that is the other side of the coin.
http://forums.dpreview.com/forums/read.asp?forum=1019&message=1801916
Would like to comment on this from an engineer's perspective. I've
some experience in signal processing and CMOS IC design. The terms
"aliasing" and "anti-alias filter" are commenly used in
discrete-time signal processing. When a signal is sampled (either
in time or in space), there are some unpleasant effects which can
occur. If you are interested, start searching on the web for the
details.
Anyway, to my point. Aliasing is when you have frequencies
higher than one-half of the sampling frequency. i.e.
photographing an object which images to, say, 101 lines per inch on
the sensor, while the sensor has a resolution of 200 lpi. (the
magical 100 lpi threshold is known as the Nyquist frequency). The
recovered image will have a visible "beat" (or moire) at 99 lpi.
You can't tell this alias from a real signal at 99 lpi. In fact,
if there was an image component present at 99 lpi as well as 101,
you couldn't figure out after sampling how much the original had
and how much is the alias. Once aliasing occurs, information from
the original signal is lost, and you can't recover it, period. You
can hide it to some extent, but you have lost some fidelity due to
aliasing.
To minimize aliasing, it's best to filter out the frequencies above
Nyquist before sampling at the image sensor. This is achieved with
a lowpass anti-alias filter with a cutoff frequency lower than
Nyquist. What's the tradeoff here? Sharpness (i.e. some of the
high frequencies above the lowpass cutoff, but just below Nyquist).
Note however, that this can be compensated for in the digital
domain with an equalizer (unsharp mask in PS). Note that
oversharpening results in ringing (halos). Why is a lowpass
anti-alias filter preferable to moire? Because there is much less
loss of fidelity than in aliasing.
Most of this has already been said from a photographer's
perspective. I realize that if you haven't been exposed to signal
processing theory this won't be as much fun to you either. Here's
the bottom line: when designing a digital camera, a designer will
have to trade off moire and raw-image sharpness. You can get more
raw sharpness, but at the cost of moire. And since the raw-image
softness can be compensated for when post-processing or during
conversion to jpg with much less loss of fidelity, it obviously
should be biased in this direction. If you want sharp photos out
of camera, set the parameters to sharpen up your jpg files
in-camera.
Pat