Is the anti-aliasing filter a physical element on the sensor, or a software-implemented function (or something else I hadn't even envisioned)?
D810, D750, N1-J5, N1-V3 (and a few other cameras) and a BIG handful of lenses.
#1. "RE: Question on D800E" | In response to Reply # 0icslowmo Registered since 01st Jan 2012Sat 09-Jun-12 12:54 AM | edited Sat 09-Jun-12 06:46 PM by icslowmo
This is the difference between the two D800's:
Attachment#1 (jpg file)
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#3. "RE: Question on D800E" | In response to Reply # 0Unavailable Registered since 09th Jun 2012Mon 11-Jun-12 01:07 AM
I am sure this has been mentioned many times: Moire patterns are created when shooting man-made objects like screens or occasionally insects at very close range. The moire effect is produced when logical RGB pixels are generated from the Bayer pattern on your camera sensor which has more green elements than either red or blue. Moira patterns are difficult to impossible to remove in software.
#4. "RE: Question on D800E" | In response to Reply # 3Antero52 Nikonian since 07th Jul 2009Mon 11-Jun-12 04:37 AM | edited Mon 11-Jun-12 04:38 AM by Antero52
It is more accurate to say that moiré patterns are artifacts created by interference between two closely matching spatial frequencies. Have you been on a ship or motor vessel with two engines running at nearly (but not quite) the same speed? Sometimes the sound from the two engines add up constructively (sound peaks coincide, which amplifies the sound), and sometimes destructively (one engines peak coincides with the other one’s trough, which suppresses the sound).
A moiré pattern is created when the image of the subject has a spatial frequency (regular distance between features) that closely but not quite matches the spatial frequency of the sensor. Assume the subject has a zebra or checkerboard pattern. At some positions the light intensity peaks from the subject fall on the green sub-pixels, at other positions the peaks fall on the blue or red sub-pixels. I have seen really bad cases of moiré when a newscaster has a tie whose pattern closely matches the pattern of a digital tv set. I have also seen moiré when scanning documents printed at (or nearly at) the resolution of the scanner, and the orientation of the original on the scanning platen does not exactly match the orientation of the printing pattern. In either case there are no Bayer patterns within eyesight.
#5. "RE: Question on D800E" | In response to Reply # 3Unavailable Registered since 09th Jun 2012Mon 11-Jun-12 12:59 PM | edited Mon 11-Jun-12 12:59 PM by Unavailable
Thanks. I think that helps...
I've have written several Bayer sensor convertor algorithms over the years. The problem that photographers need to be a aware of is always the same: How to convert 4 Bayer pattern elements (1xR, 2xG, 1xB) to 3 elements (R,G,B) for use in standard image processing applications like PS? Without doing an overall analysis of the image, you cannot tell when a moire pattern is being created. Even then, the analysis will be faulty.
The problem easy to reproduce with *any camera*. You don't need a D800E. Here's the method I used several years ago when when I wanted to simulate anti-aliasing filter issues:
1. Take a picture of a screen door with any camera. JPG or RAW - its does not matter.
2. Load the image into Photoshop.
3. Turn off resampling and resize the image to 2/3 its original size.
Voila! You have just simulated with the 800E sees when it tries to interpret a raw file with moire inducing content. The resulting image can be very ugly indeed.
I was able to create filters that ultimately reduced moire artifacts. But these filters had negative affects on other parts of the image. That's what the D800E and some Leica camera in-camera JPG convertors struggle with right now.
In POST, I can see NIK and Capture NX adding localized U-Point moire correction filters (if they haven't already). With this approach, they can minimize the negative effects on other parts of the image. But if had an 800E, I doubt I would use this kind of filter very often - so no worries.