Download Advances in Electronics and Electron Physics, Vol. 67 by Peter W. Hawkes (ed.) PDF

By Peter W. Hawkes (ed.)

This quantity includes evaluate articles overlaying a extensive variety of issues in photograph processing and research. the subjects coated comprise picture research - which has united and harmonized a bunch of heterogeneous fabric; modern techniques to the Fourier remodel; quantity theoretic transforms, that are rather appealing for discrete, finite indications; using the Wigner distribution - which encodes either spatial and spectral details, for photograph filtering; and purposes of the idea that of data strength. those updated surveys are meant to supply the reader with entry to the most recent ends up in the tremendous lively box of picture technology.

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13a, 13b, and 13c. Figure 13d shows the improvement on Fig. A are invoked. Significantly more of the fainter detail exhibited by Fig. 3b is apparent in Fig. 13d than in Fig. 13b. ALGORITHM V. CANTERBURY It is demonstrated in this section that a composite algorithm, incorporating several features ancillary to the iterative algorithms discussed in Section IVC, can perform significantly better than the iterative algorithms on their own. We do not wish to seem to imply that Fienup’s algorithms always benefit from being augmented in the manner discussed in this section.

Images obtained from puffin's visibility magnitude, IFl(#, u)l, combined with (a) direct pseudo-random phase, (b) indirect pseudo-random phase. A, and having computed r(x, y) as prescribed by Eq. (29),the image phase function r$(x, y) is defined by w , Y ) = Phasemx, Y)> (33) This is then combined with the given image magnitude If(x,y)l to give h Y ) = If(x,y)I exP[i&x9Y)l (34) On computing P(u, v), as prescribed by Eq. (31), and taking Y ( u ,v ) to be given by Eq. (32), we return to Eq. (29), thereby setting up an iterative loop which generates successive versions of $(x, y) and Y (u, v).

3b was reconstructed; (c) Fourier transform of IF,(u,t1)1~,the bright square is the estimate of the autocorrelation box; (d) finally preprocessed version of I(#, u), compare with (a). TWO-DIMENSIONAL PHASE PROBLEMS FIG. 14 (continued) 43 44 R. H. T. BATES AND D. G). B. n + Em,n = 2Em+1 / 2 4 (43) and Em,,+ 1 + Em9n= 2Em,n+1/2 (44) On writing Em+,,,+, - Am+p,n+vexp(i8,,,+,,,+,), where Am+C,n+v is positive and 8,,,+,,,+,is real, we deduce from Eqs. n - A m + l , n - A;,n)/2Am+i,nAm,n (45) and 2 Ai,n)/2Am,n+1 A m , n (46) When the image is positive, Fo,o is necessarily positive from Eq.

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