How does an anti-aliasing (optical low-pass) filter affect image quality beyond moiré?
Asked 3/28/2013
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I understand the usual trade-off: an anti-aliasing / optical low-pass filter reduces moiré but can slightly reduce fine-detail sharpness. But sensor test results for camera pairs with and without an AA filter often show little or no consistent difference in dynamic range, color depth, or low-light score. If the filter spreads light slightly at the pixel level, why doesn’t removing it clearly improve dynamic range or color sensitivity? Can the presence or absence of an AA filter meaningfully explain those measurements, or are the differences mostly due to test variability and noise?
Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0
Photography Stack Exchange contributor
13y ago
2 Answers
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What you're seeing is most likely the result of variability in the experimental conditions.
Almost all the DXO mark scores relate to noise in some way. Dynamic range is measured by finding the difference in illumination between the saturation and the point where the signal to noise ratio drops to 1. The colour sensitivity score is the logarithm of the number of colours than can be distinguished, two colours are "considered distinguishable if their difference is larger than the noise". The low light score is the amount of gain that can be applied whilst retaining a certain signal to noise ratio, thus all three of the scores you mention are determined by how much noise the sensor is producing under certain circumstances.
Noise is influenced by the temperature of the sensor, which depends on how long the sensor has been active for, and the ambient temperature. Anything and everything could have affected the test results, including the weather.
There's also a smaller possibility of sample to sample variation in sensors. Or more likely batch to batch variation - Nikon will probably produce a thousand D800 units, then change over the filters and make a hundred D800E units then change back. So even if you compared two D800s and two D800Es you might find the same result.
You could also be seeing the variable effects of sensor calibration, there will be some steps performed on the production line to set the appropriate black level, amp power etc.
I see no reason to expect dynamic range or colour sensitivity to be any different at the image level when using a camera with the AA filter cancelled out. The AA filter is not removed in these cameras, instead the two parts of the filter are aligned differently so they have no overall effect. Therefore light passes through exactly the same amount of exactly the same materials in either case. The only difference between cameras with an AA filter and those "without" occurs at the pixel level.
Optics cannot reduce noise (except by delivering more light), neither the AA filter, nor diffraction nor a soft lens reduce shot noise at the image level. With an AA filter, each photon will at random land on any one of four pixels.
I say at the image level, because a single point of light shining through an incredibly sharp lens will result in four noisy pixels in an AA camera image, but one less noisy, brighter pixel in an AA filterless image (on account of collecting 4 times as many photons). However by time you add up the effects for all points of light across the image, the results cancel out and you're left with the same overall level of noise.
Originally by user1375. Source · Licensed CC BY-SA 4.0
user1375
13y ago
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An AA/optical low-pass filter mainly changes spatial resolution, not the sensor’s basic noise or full-well performance.
Dynamic range, color sensitivity, and low-light scores are largely driven by noise and saturation behavior. The filter sits immediately above the sensor and only spreads incoming light slightly across neighboring pixels. That softening can reduce fine-detail sharpness and moiré, but it does not materially change pixel well capacity or read noise.
So for typical DR and color-depth tests, you should expect little to no difference between two cameras that use the same sensor but differ only by the AA filter. Test patterns for DR are much larger than a pixel, so the tiny blur from the filter has essentially no effect except maybe right at edges.
Small score differences are therefore more likely due to measurement variability and changing test conditions, especially anything that affects noise. Sensor noise can vary with conditions such as temperature, and DXO-style metrics are noise-based.
In short: removing the AA filter can improve perceived fine detail, but it should not meaningfully improve dynamic range or color depth on its own. Any small measured differences are usually not caused by the filter itself.
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