我一直在研究如何进行反恐怖行动,因为没有实时处理用信号处理进行的反响,似乎对手工艺品来说是理想的特例。
然而,我所读的并不是说,从把图象变成一个信号,再说一遍了一步。
通常的处理方式是,在X和方向上独立应用过滤器。 这样,您的总体过滤器为g(x,y) = f(x) * f(y)。
在这种情况下,g(x,y)称作separable <>>,其优点是,通过分别使用X-和 y-滤波器,直截了当的过滤器使用时间为O(XY)时间,X和Y是图像的尺寸,F是<>f(>的佐证。 一种任意的
If you really want to apply an full sinc() (== sin(x)/x) filter to your image, the unlimited support of the sinc() function will make straightforward convolution very slow. In that case, it would be faster to do a 2D FFT of your image, filter in the frequency domain, and transform it back.
在实践中,大多数人使用窗户或作其他改动,以获得可实际应用于空间领域的有限过滤器。
标的图像已经is,这是一个数字信号,其分数为2个,分数为pixel数值。 你们可以直接向它申请 sin子过滤器。
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