The authors have considered the algorithm of scanning electron microscopic images compression using a singular value decomposition of matrix (SVD). They did show that clipping insignificant component makes it possible to significantly reduce the dimension of problem without losing image quality. The authors carried out the analysis of the data for various micrographs and drew a conclusion that the efficiency of the algorithm was much higher if a larger area was occupied by the image elements with the same contrast.
Keywords: scanning electron microscopy; digital signal and image processing; singular value decomposition; matrix; principal component analysis.
References
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