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METHOD OF MODELING INTEGRATED NOISE IN IMAGE SENSOR AND METHOD OF REDUCING NOISE USING THE SAME

机译:图像传感器中集成噪声的建模方法以及使用该方法降低噪声的方法

摘要

PROBLEM TO BE SOLVED: To provide a method of modeling integrated noise in an image sensor, and to provide a method of reducing noise using the same.;SOLUTION: A plurality of noise models including a dark-current noise model, a shot noise model and a fixed-pattern noise model in a Bayer domain signal (BS) provided from an image sensor 100 are each set in a modeling unit (320) and an integrated noise level (SINT) is determined based on the plurality of set noise models. Noise filtering can be efficiently performed by accurate noise modeling reflected with various noise properties in the Bayer domain.;COPYRIGHT: (C)2011,JPO&INPIT
机译:解决的问题:提供一种对图像传感器中的集成噪声建模的方法,并提供一种使用该方法降低噪声的方法。解决方案:多种噪声模型,包括暗电流噪声模型,散粒噪声模型并且,在建模单元(320)中分别设置从图像传感器100提供的拜耳域信号(BS)中的固定模式噪声模型,并且基于多个设置的噪声模型来确定综合噪声电平(SINT)。可以通过精确的噪声建模来有效地执行噪声过滤,该模型反映了拜耳域中的各种噪声属性。;版权所有:(C)2011,JPO&INPIT

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