Leica M9 and/or R9D in the offing?

Miles Bader wrote:
Alan Browne writes:
I'm not sure if the M8 and M8.2 incorporate the same
moire-detection/removal algorithms of the S2 - but the M9 (if that's
what it is) logically would do so.

I've seen complaints that their "moire-detection/removal" algorithms
don't really work all that well.

Post links please.

Alan Browne writes:
I've seen complaints that their "moire-detection/removal" algorithms
don't really work all that well.

Post links please.

Hmm, I'll search around and see if I can find the thread I saw.

But I don't think the basic mathematics is in dispute: if you remove
high frequencies before the sensor (with an AA filter), you can do a
"perfect" job, but software after the sensor cannot, because the
information distinguishing "folded" high frequencies from low
frequencies is gone.

-Miles

--
Twice, adv. Once too often.

Miles Bader wrote:
Alan Browne writes:
I've seen complaints that their "moire-detection/removal" algorithms
don't really work all that well.
Post links please.

Hmm, I'll search around and see if I can find the thread I saw.

But I don't think the basic mathematics is in dispute: if you remove
high frequencies before the sensor (with an AA filter), you can do a
"perfect" job, but software after the sensor cannot, because the
information distinguishing "folded" high frequencies from low
frequencies is gone.

That doesn't mean there are not other approaches such as pattern
recognition to identify areas where aliasing appears to be occurring and
then doing something about them. (How effectively remains to be seen).
In any case, such an algorithm would be just as effective off camera
(on a PC for example).

Alan Browne writes:
But I don't think the basic mathematics is in dispute: if you remove
high frequencies before the sensor (with an AA filter), you can do a
"perfect" job, but software after the sensor cannot, because the
information distinguishing "folded" high frequencies from low
frequencies is gone.

That doesn't mean there are not other approaches such as pattern
recognition to identify areas where aliasing appears to be occurring and
then doing something about them. (How effectively remains to be
seen). In any case, such an algorithm would be just as effective off
camera (on a PC for example).

Sure, but such algorithms are inherently (much!) more unreliable than
doing it pre-sensor. They're essentially guessing.

It seems similar in some sense to smart NR algorithms -- they try to
detect true edges in the picture, and preserve high frequency
information in those places, but remove high-frequencies in other areas
(where it's more likely to reflect noise). Of course, in many cases,
the high-frequencies removed are also due to texture etc.

Anyway, I'll try to find the thread I saw before, which included some
nice pictures of Leica moire artifacts!

-Miles

--
Cat, n. A soft, indestructible automaton provided by nature to be kicked when
things go wrong in the domestic circle.