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中文摘要：
关键比值算法利用图像像素灰度值的有界性，建立寻找分离矩阵的关键值的比值函数，并对比值函数的单调性进行分析．得到分离矩阵最佳估计值，进而可以较好地实施混合图像盲分离。与传统的联合对角化算法（JADE）比，关键比值算法分离速度快、效果好，同时也解决了传统算法不能有效对黑点图像和相关图像分离的问题。仿真实验结果证明关键比值算法是一种综合性能非常高的盲分离算法。
英文摘要：
Key ratio value arithmetic makes use of the boundedness of image pixel gray to establish key ratio value function which is used to find the key value of the separation matrix. Then, the monotonicity of the ratio value function is analyzed to obtain the best estimated value of the separation matrix, furthermore to implement the blind separation of the blending image better. Compared to the traditional JADE, this arithmetic owns the merits of high separation speed and fine effect. At the same time, the problem of which the black point image and the related image can not be separated by the traditional arithmetic is resolved. The simulation results prove that the key ratio value arithmetic is one kind of blind separation arithmetic which owns very high comprehensive performance.
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