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Signal-to-noise ratio

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Signal-to-noise ratio (SNR)
In digital photography this is the amount of correct picture information to unwanted electrical interference. The S/N ratio should always be high so that good quality noise free pictures are produced.

 


signal-to-noise ratio:
The ratio of the usable signal to unusable noise in any signal. In imaging, this represents the quality of the scan.
slide scanner: ...

Signal-To-Noise Ratio (SNR)
In digital photography, this defines the relationship between the incoming signal (light/photons striking the pixels/sensor elements) and the background electronic noise generated by the sensor.

Furthermore Fuji claim that signal-to-noise ratio is considerably improved so that images captured on Fuji's Super CCd will offer sparkling clarity and richer colors.

The noise-based speed is defined as the exposure that will lead to a given signal-to-noise ratio on individual pixels. Two ratios are used, the 40:1 ("excellent image quality") and the 10:1 ("acceptable image quality") ratio.

Video Noise More commonly called "luminence signal-to-noise ratio." This is a measure of how pure the video signal is (the monochrome or black-and-white portion of the picture).

Though it requires an initial up-front investment (sensor and software) rather than an ongoing one (film and processing), high-end digital-capture image quality outperforms film in every category-higher resolving power, lower signal-to-noise ratios, ...

First, the signal-to-noise ratio (SNR) tends to degrade as the tones get darker. Second, the ability of the human visual system to distinguish detail decreases as the light entering the eye decreases.

If these were $50,000 photo-multiplier tube (PMT) based scanners you might have enough signal-to-noise ratio coming from the image sensor (the tube) to justify a 12- or 14-bit per channel A/D converter ...

My field tests confirmed DxO's lab results, which showed that acceptable image quality was possible up to ISO 800. After that, the signal-to-noise ratio drops and graininess increases.

this is similar to the garden hose analogy, but I think the glass size is a more useful symbol. People are immediately familiar with the concept, it illustrates the role of ISO more directly, and it can be extended to explain signal-to-noise ratios.

Shadow range is more complicated, in our test we stop measuring values below middle gray as soon as the luminance value drops below our defined 'black point' (about 2% luminance) or the signal-to-noise ratio drops below a predefined value (where ...

The bigger the pixel size the better they can record detail in the shadows and highlights. Larger sensors generally produce greater dynamic range, higher sensitivity, and better signal-to-noise ratio, mostly because they have room for bigger, ...

See also: Signal-to-noise, Noise, Camera, Image, Light

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