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Instead, I use Frank Markesteijn’s algorithm (in highest quality 3-pass mode).

However, I’ve done tests and found that this algorithm is at least as good as (and perhaps better than) Fujifilm’s.

(I prefer AMa ZE, myself.) Fujifilm representatives have tossed around various figures of their own for X-Trans performance (“30% slower”) and have also hinted that one of the reasons they choose Bayer for their new medium format GFX 50S camera was because demosaicking 50 megapixel X-Trans images would be too slow.

In these tests, X-Trans demosaicking took approximately 3.27 times as long as Bayer.

All DS-CAM cameras were designed to be high-shock and vibration resistant, therefor they are perfectly suited for rough testing conditions usually found in Automotive and Aerospace applications.

If your application requires video you are not limited to using our own DS-CAM cameras.

All of these are rather bold claims, to say the least, which have never, to my knowledge, been backed up by any evidence. We can test these claims ourselves — cast a spell of knowledge, if you will…

Here Fujifilm elaborates on the claim that APS-C X-Trans can match the performance of full-frame (presumably higher resolution as stated above) Bayer: The FUJIFILM X-M1 is equipped with a large APS-C X-Trans CMOS Sensor, which offers picture quality comparable to that of full-frame sensors.

Fujifilm’s is a tightly integrated system, wherein everything is a little bit different.

They rate ISO by a different standard, use a non-standard Color Filter Array (CFA), and their RAW files rely on proprietary metadata to correct exposure levels (which 3rd party RAW processors may ignore).

The sensor’s unique colour filter array minimises moiré and chromatic aberration without the need for an optical low pass filter, while dramatically boosting resolving power even at identical pixel counts to deliver sharp and texture-rich pictures.

Fujifilm seems to be conflating false color (a type of aliasing) and chromatic aberration (a property of lenses) here, but it’s the dramatically boosted resolving power that’s fantastic.

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In order to remove the complicating factors of optics, base sensor technology, etc., these comparisons are performed with This methodology allows for a direct comparison of the output with the input images (ground truth), and is the same technique employed by the researchers who develop demosaicking algorithms.

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