Singular Value Decomposition is a factorization of an real matrix (image) It generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any m × n matrix.
Singular Value Decomposition is a factorization of an real matrix (image) It generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any m × n matrix.
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Figure 3a HAADF image SVD processed image no 34. |
Figure 3b HAADF image SVD processed 90% information. |
The SVD slider displays either the SVD image number # of the SVD or a # percent SVD approximation of the original image.
Very few images of Singular Value Decomposition contain valuable information. The sequence of images SVD contains only 7 images out of 445 with some information.