Abstract
This chapter takes a small detour and discusses some numerical approximations that will be necessary to theoretically compute electron microscopy images. Specifically, digital sampling (pixels and levels) and the all important fast Fourier transform are introduced. The FFT will be the principle tool to speed up later calculation. If you are familiar with these topics, this chapter may be skipped.
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Further Reading
Some Books on Computer Image Processing
K. R. Castleman, Digital Image Processing, Prentice Hall, 1979 [46]
R.C. Gonzalez and R.E. Woods, Digital Image Processing, 3nd edition, Prentice-Hall, 2008 [125]
E.L. Hall, Computer Image Processing and Recognition, Academic Press, 1979 [143]
B. Jahne, Digital Image Processing, 3rd edition, Springer, 1995 [183]
A. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989 [184]
D.L. Missel, Image Analysis, Enhancement annd Interpretation, North Holland, 1978 [243]
W.K. Pratt, Digital Image Processing, Wiley, 1978 [287]
A. Rosenfeld and A.C. Kak,Digital Picture Processing, Academic Press, 1976 [305]
W.O. Saxton, Computer Techniques for Image Processing in Electron Microscopy, Adv. in Electronics and Electron Physics, Supplement 10, Academic Press, 1978 [309]
Some Books on Fourier Transforms and Fourier Optics
E.O. Brigham, The Fast Fourier Transform, Prentice-Hall, 1974 [39]
J.W. Goodman, Intro. to Fourier Optics, 3rd. edit., Roberts and Co., 2005 [126]
James S. Walker, Fast Fourier Transforms, 2nd edit., CRC Press, 1996 [362]
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Kirkland, E.J. (2010). Sampling and the Fast Fourier Transform. In: Advanced Computing in Electron Microscopy. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6533-2_4
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DOI: https://doi.org/10.1007/978-1-4419-6533-2_4
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