Noise suppression? Good cheating software!

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s2smodern

However little light there is, you expect from a good camera that it will show what you see with your eyes. The same colors, no unnatural blur, no digital artifacts or visible noise. In practice, it’s something else. Certainly if you examine your enlargements critically.
Eyes differ from a camera sensor. And image editing in the camera or with a photo editing program has a big influence on the signal-to-noise ratio and impression of sharpness. The high image quality of modern cameras is partly thanks to sharpening and noise suppression, which starts at the pixel level on the sensor. Thanks to this advanced “cheating software,” noise is removed and some sharpness is added in every camera. Without software tricks, noise is already visible at low ISO values (below 1600 ISO), if you assess the shot at 100% on your screen. As a photographer, you do not have complete control over sharpening and noise suppression. That not only applies for jpg files, but also for RAW files. With cameras that have an anti-aliasing filter, for example, the blur that is deliberately caused by the low-pass filter by the camera manufacturer (in order to eliminate moiré) is repaired by opening a RAW file, without you being able to exercise any influence over it as a photographer.

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s2smodern

Test method: How we measure dynamic range

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s2smodern
One of the most important parameters in a digital camera is its dynamic range. Dynamic range in photography describes the ratio between the maximum and minimum measurable light intensities (white and black, respectively). Once your subject exceeds the camera's dynamic range, the highlights wash out to solid white, and the darks become solid black. Cameras with a large dynamic range are able to capture shadow detail and highlight detail at the same time. Cameras with a small dynamic range provide you with blown-out highlights and shadows. concert304
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s2smodern

Test method: Image quality of a camera: tests supported by measurements

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s2smodern

Resolution, noise and autofocus. We measure these important camera features according to the same strict protocol for each camera. We combine the measurements into graphs and tables, which you can use to compare the image quality of cameras. Initially, these numbers and graphs might be overwhelming. And you may wonder how those numbers can help you choose a good camera.

camera review method, Imatest, camera image quality, camera noise, autofocus accuracy
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