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    • 2. 发明申请
    • IMAGE PROCESSING METHOD WITHOUT PARAMETERS
    • 没有参数的图像处理方法
    • US20100040301A1
    • 2010-02-18
    • US12373419
    • 2007-07-17
    • Kurt OsterlohUwe EwertUwe ZscherpelOleksandr Alekseychuk
    • Kurt OsterlohUwe EwertUwe ZscherpelOleksandr Alekseychuk
    • G06K9/40
    • G06T5/10G06T5/002G06T5/20G06T2207/20056
    • The aim of the invention is to provide a method that increases the discernibility of fine structures in an input image and that suppresses noise. Said method comprises the following steps: calculation of a Fourier-transformation I(k) of the input image; calculation of a scaled power spectrum Psk(k) from the Fourier transformation; calculation of a noise function R(k), the following equation R(k)=Psk(k) for ∥k∥>ks being true for the higher frequencies k of said function above a predetermined threshold frequency ks; calculation of a differential function D(k)=Psk(k)−R(k); calculation of a filter function according to F(k)=α ∥k∥ D(k); multiplication of the Fourier transformation I(k) with the filter function F(k) and subsequent execution of an inverse Fourier transformation (30) for calculating a reconstructed image Ir(r).
    • 本发明的目的是提供一种增加输入图像中精细结构的可辨别性并抑制噪声的方法。 所述方法包括以下步骤:输入图像的傅立叶变换I(k)的计算; 从傅立叶变换计算缩放的功率谱Psk(k); 噪声函数R(k)的计算,对于对于规定阈值频率ks以上的所述函数的较高频率k,对于‖k‖> ks,以下等式R(k)= Psk(k)为真; 差分函数D(k)= Psk(k)-R(k)的计算; 根据F(k)=α|||| D(k)计算滤波器函数; 傅里叶变换I(k)与滤波函数F(k)的相乘以及随后的用于计算重构图像Ir(r)的傅立叶逆变换(30)的执行。