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Letters to the Editor 91

References

[1] Ma g ie r a A., Pl u t a M., Optica Applicata, 12 (1982), 363. [2] Ga j M., Ma g ie r a A., Pl u t a M., Optik 59 (1981), 111-124.

Beceived July 28, 1982

Semiapertures quadrature *

An n a Ma g ie r a, Le o n Ma g ie r a

Instytute of Physics, Technical University of Wroclaw, Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Po:and.

This paper contains the results obtained from the application of the Hilbert transforms to present the diffraction patterns of real semiapertures in analy­ tical form with a quadrature component of the aperture function. The mention­ ed results have been compared with those obtained for the apiplitude-apodiz- ed optical systems.

The Fourier transform of a full aperture described by a real transmittance function t(x, y) is a real distribution of aperture in the Fourier plane F(a>, v) [1]

The Fourier transform of a semiaperture ts(x, y) (i.e., the full aperture func tion t(x, y) multiplied by the Heaviside function H(x)., i.e., %(x, y) — t(x, y)

S( x ) ) is an analytical function in the form

Here, the real and imaginary parts (the latter being the quadrature component) constitute a pair of Hilbert transforms. Thus, the Fraunhofer diffraction pattern generated by a real semiaperture ts(x, y), distributed along the line parallel to the normal to the edge of the aperture semiplane, has been represented in an analytic form in the image plane (comp. [2]). If the aperture transmittance is described by a complex function, such that the parts of aperture are sym­ metric, the Fourier transform is given by doubled real part of the analytic function

= F{co,v). (1)

^ F{t(x, y) H { x ) } = i [-F(o), v ) + i F { (0, wj] (2)

t(x,y) = t * ( —x, - y ) , Ff^·2 R e {# V }. (3)

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92 A . Magieba, L. Magxeba

If the aperture is antisymmetric, the Fourier transform is equal to doubled imaginary parts of the function

H®, V) = - t * ( - x , - y ), F f -» 2 I m { p F} . (4) A modified amplitude distribution in the image plane may be obtained also by convolving the spatial frequency distribution of the object function F(co, v) with the reciprocal function ( —i/na))

F m(a>, v) = F(co, v) ® ( —il(nco)}. (5)

By definition the Hilbert transform of the function/(a?) is a convolution of this function f(x) with the reciprocal function ( —1 l(cox))

f(x')dx'

x' —x = f ( x ) <g> (6)

The Fourier transform ( — nx) 1 is equal to isgntw, i.e., it is equal to + i for positive a> and to —i for negative co. The Hilbert transform is thus equiva­ lent to a special filtering in which the amplitudes of spectral components remain unchanged, while their phases are shifted by ji/2 in the positive or negative direction, in accordance with the sign of co.

If, for instance, the aperture function is f(x) — Bin (ax) I (nx) its Hilbert transform may be produced b y :

i) calculating the Fourier transform of the function f ( x ) , ii) multiplying this transform by isgn co,

iii) performing an inverse Fourier transform

' iqnu

f »In lax) 1

1

»x

"I w

FM

u a y

1

i_|

1 I 6M

lau) -1

M

1

* l « -j

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The result obtained is also a Fourier transform of a rectangle aperture function (see Table) with halves of the aperture areas being in antiphase with respect to each other! It is a quadrature component of the analytic spatial fre­ quency distribution of the rectangle aperture function multiplied by the Heavi­ side function (see Table, example 1).

The amplitude distribution corresponding to the Hilbert transform of a rectangle function is presented in Fig. la , the corresponding intensity distri­ bution being shown in Fig. lb .

The result obtained is a quadrature component of the spatial frequency distribution of the aperture, function, sine (ax), multiplied by the Heaviside function (Table, example 3).

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Letters to the Editor 93

Analytic functions describing the semiapertures. Examples

1

, - o a

sine («to) H---[cos (coa) — 1],

CO 2 sine (ato) 4 t 2 i — [cos(co«) —1] CO 2 2 i f leR kR

( / j —first order Bessel function, Hj —first order Struve function)

2Jl {k,R) kR I t ^Hi 2№ 1(kR) kR i f 71 J — T I TtCO \ a 1 1 \ a J+ i In co— a co -f·« I I ^Hi 2 i In co — a co + a

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94 A. Magiera, L. Magiera

{<

(1 — со2) + г| (1 — ω2) — ln л ■ ω —α ω + α 2ωα л

|]

2 ( 1 - ω 2) i t 2г| (1 ~-ω2) — ln η ω — α 2ω α~1 o j -f- d

π J

w -- W \ j

2sinx + 2cosx 2sinx

X X2 X3

- N * J

f t * -(1 + ео2) + гι ---. [ Ί (1 + t [_2 π ln ω — α OJ “J" Oj + -αω π 2 - ( 1 - ω 2) i f ~&·Hi

* f i ü

L2 π In ω — α i

αω1

ω + α π

J

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7 *F |ccs{atü)

" i

π L

ë

ω — α -)- 2(1(0 .. _ , ; ω — α + г|— ln — — π ω + α ω + α + sm(ae>)

])

2 <cos(acu)--- I ω l я 1 а I t ω21η ω —α ω -j- a

i

-f- 2αω

]}

2i\— ln \_π ω — α ω + α + sin(a<u) *F [cos(sin(<yueo)) —cos(ct)„a))| . Γ1 , ω — α + г — ln (0-}- & \_π + sm(sin(eu0co))J

2 [cos (sin ( co0a>)) — soc ( α>0ω)] I f ~^E i

Γ1 , ω — α

— ln

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96 A . Magiera. L. Magiera

The results obtained for other aperture functions are given also in the Table.

In Figures 2a, b the amplitude and intensity distributions generated by a Hilbert transform of the apodized rectangle aperture are shown,and

com-Fig. 1. Hilbert transform of a rectangle aperture function: a — amplitude distribution, b — intensity- distribution

pared with the amplitude and intensity distributions generated by a Fourier transform of the same aperture [3]. The results obtained indicate that by em­ ploying the Hilbert transform the positive and negative parts are separated. This is especially useful for two-channel incoherent optical processors, in the case of Hilbert transform, as it allows to define the spread function in the form of two positive filters in accordance with the relation h(x) = h+ (x) —h_ (x), and moreover, there is no energy loss in the secondary maximum. It is also well known that the function and its Hilbert transform have the same autocor­ relation function [4]

oo oo

J

f*(oo)f(x—x')dx+z

J

F^i (x)Fm ( x —x')dx. (8)

— OO —oo

This means that the total energies in the object and the image are identical. An application of the Hilbert transform is particularly important for visualiza­ tion of the phase objects. Two examples (f(;x) — eix2, f (x) — shown in

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L etters to the Editor 97

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98 A. Magieba, L. Magieba

Fig. 2. Hilbert transform (curves 1 abc) and Fourier transform (curves 2 abc) of an apodized rectangular aperture: a — amplitude distribution, b — intensity distribution: (--- )

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Letters to the Editor 99

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100 A. Magieea, L. Magiera

Figs. 3a, b and 4a, b illustrate tbe situation. Actually, we work on a construction of a filter representing the three-dimensional kernel of Hilbert transform and on its application to produce the quadratures of aperture functions in an in­ coherent processor.

Translated by Ireneuee Wilk References

[1] Bracewell K., The Fourier transform and its application, McGraw-Hill Book Co., New York 1965.

[2] Sethuraman J., Sirohi B. S., [in] Optica Hoy Manana, Eds. J. Bescos et al. Proo., of the Eleventh Congress o f the International Commission for Optics, 10-17 September 1978, Madrid, p. 769.

[3] Ga j M., Ma g ie ra A ., Plu ta M., Optik 59 (1981), 2.

[4] Soroko L. M., Holography and coherent optics, Plenum Pres, New York 1980.

Beceived October 10, 1982

Single-wavelength coding o f colour in one-step rainbow holography

Eugeniusz Jagoszewski, Halina Podbielska

Institute of Physics, Technical University of Wroclaw, Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland.

1 . Introduction

The basic tricks used in the rainbow holography consist in restricting the object beam with a narrow slit and next recording this beam after its passage through an imaging system. Thus, the wavefronts generated by the examined object are recorded together with the light beam diffracted by the slit on a rain­ bow hologram. Consequently, in the reconstruction step the image of the object is reconstructed together with the image of the Slit. In monochromatic light the reconstructed image is visible from the position where the slit image is reconstructed. When white light is used to reconstruction, the image of the slit becomes spectrally diffused, but from the given point of this image a mono­ chromatic image of the object may be seen. By locating the eye in another point of the slit image the image of the object will appear in another colour.

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