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What is the dynamic range
Reading time: 10 minutes - July 26, 2024 - by Markus Igel

Camera Basics #23 - Dynamic range of cameras (sensors)

Modern camera sensors contain a lot of image information that can be used to your advantage when shooting in RAW format. The extent to which this image information can be exploited depends entirely on the ISO you use, as this greatly changes the sensitivity of the sensor.

The dynamic range of the camera can be utilized particularly well with underexposures. This means that underexposed images can be brightened up better. However, images that are brightened can have a side effect: ISO noise can be more noticeable in the black levels here, as these tend to have color noise in particular. However, it is usually possible to brighten the image by 1-2 f-stops in post-processing without clearly visible losses. Even with a slight overexposure, moments that may have been lost can be restored.

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What is dynamic range (photography)

The dynamic range describes the contrast range, which can be measured in f-stops or light values. You may already be familiar with the term exposure values from the technical data of your camera. There, the EV (Exposure Value) is usually used for the reliability of the autofocus and indicates at up to - XX EV / + XX EV your camera is able to focus.

Relationship between bit depth and dynamic range

In the context of RAW photography and also videography, which we will come to later, the bit depth represents the limitation of the dynamic range. This is where it gets really technical again, because the question is explained in detail: How many bits do the analog/digital converters of your camera sensor deliver? The individual pixels on the sensor work almost linearly, which means: If twice the amount of light falls on the pixel, this leads to a doubling of the electrons collected during the exposure. The A/D converter therefore records these analog signals and converts them linearly into a numerical value twice as large in the RAW image.

The more bits the A/D converter manages, the more EV the image can achieve in the end; this also means that each bit more can store twice the value in the RAW. [Check the bit depth of your RAWs in your camera

Now you know how the dynamic range in the RAW comes about, but the real dynamic range of your RAW is even greater. This is because analog/digital converters tend to produce random values, especially in shadow areas, which in the end result in a pattern that the computer can calculate correctly and thus brighten the exposure there again. It is important to understand that the more megapixels your sensor has, the more accurately these shadow areas can be displayed.

Now you may also understand the connection that a burned-out area can no longer be saved, because at this point the signal of the A/D converter is full and has reached the maximum value.

Photon noise and ISO

The ISO makes the sensor more sensitive to light. As a result, it is easier to work in dark situations. However, the resulting noise hits the pixels of the sensor, causing the measured values to become noisy. This means that colors and light no longer contain all the information that they once contained at a lower ISO.

Depending on the model, the camera has a different basic sensitivity. If the photographer selects an ISO value below the basic value, the camera controls the sensor to overexpose and the highlights in the image are cut off. Of course, the camera actively works against this by darkening the midtones and shadows so that the overexposure is not particularly noticeable. However, this has the disadvantage that some of the highlights in the shot have already been lost and cannot be restored.

Cameras that work with a Dual ISO rely on two different capacitors that read the sensor with different ISO values. This increases the dynamic range, as black values, for example, are read out with a higher basic sensitivity. This offers a little more flexibility when brightening. At the same time, highlights can also be preserved because they are read out with the capacitor at the lower ISO.

So, what is photon noise? This describes the noise caused by the moving electrons. This cannot be physically prevented, but modern cameras and various algorithms are getting better and better at eliminating it.

What does the dynamic range depend on?

The most important factors on which the dynamic range depends are:

  • Sensor design: Larger sensors (e.g. full-frame sensors) often have a better dynamic range than smaller sensors (e.g. APS-C, Micro Four Thirds).
    APS-C vs. full-frame explained
    However, the dynamic range of the sensor does not only depend on the sensor size, but also massively on the architecture or structure of the sensor. You can find more information on this in our Camera Basic article on sensors.

  • ISO sensitivity: Lower ISO settings generally offer a better dynamic range, as noise increases at higher ISO values and details in the shadows can be lost.

  • Pixel size / number of megapixels: Larger pixels on a sensor can capture and process more light, resulting in a better dynamic range. Cameras with fewer but larger pixels therefore often have a better dynamic range than those with many but smaller pixels.
    Megapixels explained

  • Optical factors: It is not only the sensor that determines the dynamic range of the image, but also the glass. If a lens is prone to extreme flaring and ghosting, it is quite natural that less contrast is captured in the image. This can also be a look! But it's not just the glass of the lens that plays a role here, UV filters and other filters also play a key role. Depending on the quality of the glass, UV filters can absorb a significant amount of light. Light that passes through glass always has a certain loss. This is measured in the transmission, which is why an aperture of f1.4 does not reliably allow the corresponding light to enter. A real measured value here is T-Stop or Transmission Stop.

What kind of range do modern sensors usually have?

Dynamic range in photography refers to the difference between the brightest and darkest areas of an image that a camera sensor or film can capture - without losing detail in the shadows or highlights.

The dynamic range of modern system cameras varies depending on the model and sensor, but is typically in the range of around 12 to 17 f-stops. (as of 07.2024)

Making better use of the dynamic range

Modern system cameras offer various functions that allow you to make better use of the dynamic range than was the case with an SLR. For example, the system camera offers a function that allows you to display the highlights. This allows you to adjust the exposure to such an extent that the zebra stripes are reduced on the camera display. For landscape photography, you can also use gray graduated filters to reduce the contrast between the sky and the ground and to better exploit the dynamic range. If you are active in portrait photography, you can brighten up your model and differentiate them from the rest of the picture. You can also brighten up shadows on the face so that the maximum details are still visible, or become visible again.

What is the difference between dynamic range in photography and videography?

The dynamic range in photography and video differs in several aspects; mainly due to the differences in the technical requirements, the way the images are captured and processed.

In photography, the photographer is free to choose the exposure time and thus has the opportunity to store much more information in the image in a long exposure than is the case with many consecutive photographs. In addition, a RAW format is always available for photography. Not every camera can do this in video mode.

[If you record a video in RAW, you need a large amount of data. This is because 30-120 or more images are created per second. These can only remain within a certain exposure time according to the frames per second. This is why you often have to rely on an ND filter to achieve a high dynamic range. Another important factor for a high dynamic range of your video is the bit rate in which you record the video; videos in 8 bits, for example, tend to create a staircase effect, especially with a horizon.

The influence of compression methods

In the following, we will return to the compression of RAWs and the video codecs, although we will address video codecs and co. in further dedicated articles. Every camera manufacturer has its own way of compressing images, apart from JPEGs. Compression is usually non-linear, contrary to the sensor pixels, which is why there is a loss in the conversion of the scales.

In the case of videos, for example, a distinction is made between compression in h.264 & the more modern standard h.265, which have different effects on video quality. The h.265 standard is particularly interesting for video streaming, but the whole thing tends to distort the colors and black levels, especially in the black levels and shadow colors.

Mechanical shutter and electronic shutter

Some camera manufacturers limit the bit depth of RAW images depending on which shutter is used. This is important to mention because more and more camera manufacturers are abandoning the mechanical shutter. This means that the camera uses a different bit depth with the electronic shutter than when using a mechanical shutter. Anyone who shoots a lot in series and has set the switch between the different shutter types should therefore be aware of these bit depth differences. If you prefer to rely on consistency here, you should set your camera accordingly beforehand so that you have a consistent dynamic range.

Dynamic range in print

Now the question is: If a modern sensor has an average of 14 EV (as of 07.2024) dynamic range, how much of this actually arrives in print? Of course, when exporting images for a high-quality print, it is best to use the ICC profiles for the corresponding paper in order to make good use of the absorption capacity. On average, the print achieves a dynamic range of approx. 5 EV.

Conclusion

Dynamic range is a very technical and difficult topic to communicate. We hope that we have been able to provide some clarity here. If you have a rough understanding of the principle, you can learn a lot as a photographer and save yourself a lot of frustration elsewhere.

A little task for you:

Check your camera and see how many bits you can shoot your RAWs with. Also use the exposure slider in a RAW developer of your choice and see how far it can be moved from left and right and where you have retained information in the image

show us your pictures on Instagram and/or Facebook and tag us @fotokochde! We look forward to seeing your results!


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