Can a digital camera sensor use different ISO settings for different pixels, and would that improve dynamic range?

Asked 9/9/2012

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Some explanations of digital ISO suggest that gain can be applied at the photosite or pixel level. If different pixels on a sensor could effectively use different ISO or exposure levels, could that be used to improve dynamic range by giving shadow areas more sensitivity while preserving highlights? Has anything like this been implemented in real cameras, and what are the trade-offs?

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

13y ago

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The closest thing I know to what you're thinking of is what Fujifilm are doing with DR mode in their EXR sensors, as seen in the X-10 and X-S1) - half the pixels are deliberately underexposed by a stop (or two) and combined with the "normally" exposed pixels before the image is output. For more detail, see DPReview's X-10 review - what you're interested in here is the 6 MP DR mode, rather than the 12 MP DR mode, which is the standard "underexpose and then apply a different tone curve to the whole image" seen in many cameras these days and trades off shadow noise for increased dynamic range. The 6 MP DR mode is interesting as it (in theory) allows you to increase dynamic range while keeping shadow noise as it would normally, although of course you're paying the cost in resolution instead.

Originally by user11371. Source · Licensed CC BY-SA 4.0

user11371

13y ago

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In principle, yes: using different effective sensitivities or exposures across the sensor can help capture a wider brightness range. But in practice it is not as simple as assigning ISO per pixel and getting a better image for free.

A real example is Fujifilm’s EXR “DR” mode, where groups of pixels are exposed differently and then combined. This can increase dynamic range, but it comes with trade-offs such as reduced resolution. Similar sensor designs can also use pixels of different sensitivity, but they require extra circuitry per pixel, which reduces light-gathering area and can hurt noise performance.

There are also workflow costs: the sensor data must be merged or tone-mapped during processing, which increases camera processing demands and complicates RAW support. Standard RAW converters are built around more conventional sensor data, so unusual per-pixel exposure schemes need special handling.

So the idea is useful and has been implemented in limited forms, but the downsides are complexity, possible noise penalties, reduced resolution, and software support challenges.

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