基于完全互信息梯度表达式及得分函数差分的性质，提出一种在线频域盲解卷积块算法。
An online block algorithm for frequency domain blind deconvolution was proposed based on the complete mutual information gradient and the properties of the score function difference (SFD).
本文研究了基于最大互信息和图象梯度组合的人脑CT与MRI多模医学图象配准算法。
This paper aims to research registration of CT and MRI images of caput based on gradient and normalized maximization mutual information method.
医学图像融合的效果评价方法有很多，如信息熵、 互信息、均方值、峰值信噪比和平均梯度等。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
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