SVD decompose
[U,S,V] = svd(I)
当修改主成份U值的时候，这里通过U递增，重新生成图像，观察与原图的区别。
定义：Frobenius范数 ||M - B||来衡量B对M的近似效果。
这意味着，如果我们以Frobenius范数作为衡量准则，那么在给定的矩阵秩的情况下，SVD能够给出最佳的近似效果。。
真实出人意料！
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