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Gaussian noise[edit]
Main article: Gaussian noise
Principal sources of Gaussian noise in digital images arise during acquisition e.g. sensor noise caused by poor illumination and/or high temperature, and/or transmission e.g. electronic circuit noise.[2]
A typical model of image noise is Gaussian, additive, independent at each pixel, and independent of the signal intensity, caused primarily by Johnson–Nyquist noise (thermal noise), including that which comes from the reset noise of capacitors ("kTC noise").[3] Amplifier noise is a major part of the "read noise" of an image sensor, that is, of the constant noise level in dark areas of the image.[4] In color cameras where more amplification is used in the blue color channel than in the green or red channel, there can be more noise in the blue channel.[5] At higher exposures, however, image sensor noise is dominated by shot noise, which is not Gaussian and not independent of signal intensity.
Do I have to use English grammar.Gaussian noise[edit]Main article: Gaussian noisePrincipal sources of Gaussian noise in digital images arise during acquisition e.g. sensor noise caused by poor illumination and/or high temperature, and/or transmission e.g. electronic circuit noise.[2]A typical model of image noise is Gaussian, additive, independent at each pixel, and independent of the signal intensity, caused primarily by Johnson–Nyquist noise (thermal noise), including that which comes from the reset noise of capacitors ("kTC noise").[3] Amplifier noise is a major part of the "read noise" of an image sensor, that is, of the constant noise level in dark areas of the image.[4] In color cameras where more amplification is used in the blue color channel than in the green or red channel, there can be more noise in the blue channel.[5] At higher exposures, however, image sensor noise is dominated by shot noise, which is not Gaussian and not independent of signal intensity.
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ฉันต้องใช้ภาษาอังกฤษถูกหลักไวยากรณ์
Gaussian noise[edit]
Main article: Gaussian noise
Principal sources of Gaussian noise in digital images arise during acquisition e.g. sensor noise caused by poor illumination and/or high temperature, and/or transmission e.g. electronic circuit noise.[2]
A typical model of image noise is Gaussian, additive, independent at each pixel, and independent of the signal intensity, caused primarily by Johnson–Nyquist noise (thermal noise), including that which comes from the reset noise of capacitors ("kTC noise").[3] Amplifier noise is a major part of the "read noise" of an image sensor, that is, of the constant noise level in dark areas of the image.[4] In color cameras where more amplification is used in the blue color channel than in the green or red channel, there can be more noise in the blue channel.[5] At higher exposures, however, image sensor noise is dominated by shot noise, which is not Gaussian and not independent of signal intensity.
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I have to use English grammar noise []
Gaussian edit Main article: Gaussian noise
Principal sources of Gaussian noise. In digital images arise during acquisition e.g. Sensor noise caused by poor illumination and / or, high temperature and / or. Transmission e.g. Electronic circuit noise. [2]
A typical model of image noise is Gaussian additive,,Independent at each pixel and independent, of the signal intensity caused primarily, by Johnson - Nyquist noise (thermal. Noise), including that which comes from the reset noise of capacitors ("kTC noise."). [] Amplifier 3 noise is a major part. Of the "read noise" of an image, is sensor that, the of constant noise level in dark areas of the image.[] In 4 color cameras where more amplification is used in the blue color channel than in the green or, red channel there. Can be more noise in the blue channel. [] At, 5 higher exposures however image sensor, noise is dominated by, shot noise which. Is not Gaussian and not independent of signal intensity.
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