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To approximate our image from SVD matrices, we form a diagonal matrix $\Sigma_k$ based on the thresholded singular values, i.e., we zero out all the singular values after the threshold. To recover the approximation matrix, we multiply matrices $X_{k}= U \Sigma_k V^T$. The approximation results are shown below. Note that the image is standardised.