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    [分享]CMOS的噪聲是按照什么分布的? [復(fù)制鏈接]

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    只看樓主 倒序閱讀 樓主  發(fā)表于: 2014-04-28
    — 本帖被 cyqdesign 從 3D打印與快速成型技術(shù) 移動到本區(qū)(2014-07-09) —
    關(guān)鍵詞: CMOS
    大家都知道,CMOS的噪聲有讀出噪聲,暗電流噪聲,固定模式噪聲等,那么請問這些噪聲如果用數(shù)學(xué)模型來解釋的話是按照什么來分布的呢?比如說,讀出噪聲好像是服從高斯分布的。
     
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    只看該作者 1樓 發(fā)表于: 2014-06-04
    你可以看看噪聲的說明,關(guān)于固定格式噪聲,熱噪聲等等的公式,自然知道它的分布規(guī)律和模型! B(O6qWsL  
    大部分的噪聲最后反應(yīng)都在圖像上,這是從圖像上我們常規(guī)的總結(jié)圖像噪聲的一些資料: rEbH< |  
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    Gaussian noise E]S:F3  
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    Main article: Gaussian noise )5y" T0]  
    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] NW*#./WdF8  
    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. s I09X6)