By Peter W. Hawkes (ed.)
This quantity includes evaluation articles masking a vast diversity of themes in photo processing and research. the themes coated comprise snapshot research - which has united and harmonized a number of heterogeneous fabric; modern techniques to the Fourier remodel; quantity theoretic transforms, that are rather appealing for discrete, finite signs; using the Wigner distribution - which encodes either spatial and spectral info, for picture filtering; and functions of the idea that of knowledge power. those up to date surveys are meant to supply the reader with entry to the most recent ends up in the super energetic box of snapshot technology.
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Extra info for Advances in Electronics and Electron Physics, Vol. 67
3b. This is because the pronounced detail present in the former gives rise to more closely spaced fringes in visibility space, as is emphasized by Fig. 11, which depicts IF(#, 0)l and IF(0, o)l for the original images shown in Fig. 3. Note that the Fienup algorithms have parameters a and fl which are kept constant when computing estimates of the visibility phase. Their optimal values are found by numerical experimentation; several specimen images are chosen and their visibility magnitudes are subjected to a particular number of iterations.
The pixels of the image are arranged in a rectangular array, with their ordering in the x and y directions identified by the integers m and n, respectively. We denote the m,nth image pixel by =f nA,) (28) where A, and A, are the spacings, in the x and y directions, respectively, of adjacent samples. G and Table 111). C. D, respectively. D presents histories of the numerical convergence of several reconstructed image-forms. D should give the reader a clear indication of the computational implications of the iterative algorithms.
TWO-DIMENSIONAL PHASE PROBLEMS 51 FIG. 19. Image-form of starfield obtained after a single Fienup cycle ( v , = 20, v 2 = 80, v g = lo), starting with CPE. The presence of a dominating central lobe in I(u,u) often implies that the image detail is superimposed upon a smooth background or fog. If one thinks of the detail as gleaming only fitfully through this fog, it is obvious why the iterative algorithms make heavy weather of reconstructing the image-form. A (Bates and Fright, 1984). We first of all multiply IF(u, u)l by a positive window W(u,u) which is small over the central lobe and smoothly approaches unity outside.
Advances in Electronics and Electron Physics, Vol. 67 by Peter W. Hawkes (ed.)