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METHODS FOR ADAPTIVE SPECTRAL, SPATIAL AND TEMPORAL SENSING FOR IMAGING APPLICATIONS

机译:影像应用中的自适应光谱,空间和时间感测方法

摘要

A method for adaptive spectral sensing developed for a two-dimensional image (16) made up of picture elements (14). The method calls for illuminating at least one of the picture elements with an input light (18) and deriving a time-varying spectral signal from the input light for that picture element. The time-varying spectral signal is processed with a time-varying reference signal by using a mathematical function such as convolution, multiplication, averaging, integrating, forming an inner product, match filtering, addition, subtraction or division to obtain a processed output value for the picture element and this output value is then used in determining a spectral characteristic of the input light. The time-varying spectral signal is conveniently derived by optical filtering of the input light yielding an optical time-varying spectral signal. This method can be used by itself or in combination with at least one other adaptive technique such as adaptive spatial sensing and/or adaptive temporal sensing.
机译:针对由像素(14)组成的二维图像(16)开发了一种自适应光谱感测方法。该方法要求用输入光(18)照亮至少一个像素,并从输入光中得出该像素的随时间变化的光谱信号。通过使用数学函数(例如卷积,乘法,平均,积分,形成内积,匹配滤波,加法,减法或除法),使用时变参考信号处理时变频谱信号,以获得用于像素,然后将此输出值用于确定输入光的光谱特性。时变光谱信号可以通过对输入光进行光学滤波来方便地得出,从而产生时变光谱信号。该方法可以单独使用,也可以与至少一种其他自适应技术结合使用,例如自适应空间感测和/或自适应时间感测。

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