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    • 5. 发明授权
    • Image analysis using the direct exponential curve resolution algorithm
    • 图像分析采用直接指数曲线分解算法
    • US5841891A
    • 1998-11-24
    • US832424
    • 1997-04-02
    • Willem WindigBrian J. Antalek
    • Willem WindigBrian J. Antalek
    • G06T5/00G06K9/00
    • G06T5/10G06T2207/10088
    • A method of enhancing a series of images comprising the steps of: providing x digital image files, each image file including a matrix of n rows.times.m columns of pixels; producing a matrix of the x digital image files of x rows of m.times.n pixels per row, where each row is an unfolded image of an x digital image; splitting the produced matrix into two data sets A and B, each data set with an equal amount of images less than x; applying singular value decomposition (SVD) to data set A and limiting the SVD space to a number of expected components; calculating the projections A.sup.p and B.sup.p of data set A and data set B into the SVD space of A, with the eigenvalues of the SVD representing the projection of A; calculating the eigenvalues and eigenvectors of the product of A.sup.p and the inverse of B.sup.p ; and transforming the results of the latter calculation back to the original data set and calculating the resolved images and their contributions into the original images.
    • 一种增强一系列图像的方法,包括以下步骤:提供x数字图像文件,每个图像文件包括n行xm个像素列的矩阵; 产生每行x×m个像素的x行数字图像文件的矩阵,其中每行是x数字图像的展开图像; 将产生的矩阵分解为两个数据集A和B,每个数据集具有小于x的等量图像; 将奇异值分解(SVD)应用于数据集A,并将SVD空间限制为多个预期分量; 将数据集A和数据组B的投影Ap和Bp计算为A的SVD空间,SVD的特征值表示A的投影; 计算Ap的乘积和Bp的倒数的特征值和特征向量; 并将后一个计算的结果转换回原始数据集,并计算解析的图像及其对原始图像的贡献。