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poon, banerjee - contemporary optical image processing with matlab

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[...]... linear system as - L ~ L ~ f ~ ( ~ ' , y')h(~, y, ~', y') d~'ay' (1. 3-4 ) Now, a linear system is called space-invariant if the impulse response h(x, y, x', y') depends only on x - x', y - y', that is, A (~. 3-5 ) h ( ~ , u, ~', y') - h ( ~ - ~', y - y') Thus for linear space-invariant systems, the output (1. 3-4 ) can be rewritten as fo(~, y) - L ~ L ~ f ~ ( ~ ' , fo(X, y) y ' ) h ( ~ - ~', y - y') a ~ ' d... and rtl 0 i Yl -~ - n l X l / R , (2. 4-7 a) n20t = v2 + n 2 x 2 / R (2. 4-7 b) Using Eq (2. 4-6 ), (Eq 2. 4-7 ) and the fact that x z = x2, we obtain V2 - R hi n2 + Vl (2. 4-8 ) The matrix-vector equation relating the coordinates of the ray after refraction to those before refraction becomes (~2 )- , 2 _p 1 ~ ( 0)1 (~)~1 , (2. 4-9 a) where the quantity p given as p Tt2 721 \z-, -r R lu][Q.A-O]'~'I is termed... with period NA can be formed as [Antoniou (1979)]" OO fp(nA) - ~ f ( n A + r N A ) (1. 2-1 ) r=-oo The discrete function f(nA) may be formed by the discrete values of a continuous function f ( x ) evaluated at the points x - nL The discrete Fourier transform (DFT) of fp(nA) is defined as N-1 Fp(mK )- E fp(nA)exp(jmnKA) , K- - 2~ NA" (1. 2-2 ) n=0 The inverse DFT is defined as N-1 fp(nA) - ~ Fp(mK)exp( -. .. will find a path that extremizes t(z) with respect to variations in z We thus set d t ( z ) / d z = 0 to get a-~ _ [h ~-' F-(d-z)2] 1/2 - - z [h 2+z2] 1/2 (2. 2-2 ) or sin Oi = sinO~ (2. 2-3 a) 0~ - 0r (2. 2-3 b) so that We can readily check that the second derivative of t(z) is positive so that the result obtained corresponds to the least time principle Equation (2. 2-3 ) states that the angle of incidence... continuous (d~)~ - (dx)~ + (d~) ~, (2. 3-3 ) where we restrict ourselves to two dimensions Also, from Figure 2.6, dz/ds - (2. 3-4 ) s i n O & ~A Z Figure 2.6 The path of a ray in a medium with a continuous inhomogeniety 2.3 Refraction in an Inhomogeneous Medium 17 Combining (2. 3-2 ), (2. 3-3 ) and (2. 3-4 ), we obtain dx ~) 2 = (~) n2 T~21siTt20 1 - - (2. 3-5 a) 1 or alternatively, by differentiating with respect... O . Ting-Chung. Contemporary optical image processing with MATLAB / Ting-Chung Poort, Partha P. Banerjee 1st ed. p. cm. ISBN 0-0 8-0 4378 8-5 Cnardeover) 1. Image proe~sing. 2. MATLAB. I. Banerjee, . 7: Contemporary Topics in Optical Image Processing 7.1 Theory of Optical Heterodyne Scanning 7.1.1 Bipolar incoherent image processing 7.1.2 Optical scanning holography 7.2 Acousto-Optic Image. Lens Image Processing Systems 5.1 Impulse Response and Single Lens Imaging System 5.2 Two-Lens Image Processing System 5.3 Examples of Coherent Image Processing 5.4 Incoherent Image Processing

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Mục lục

    Contemporary Optical Image Processing with MATLAB®

    Chapter 1. Introduction to Linear Systems

    1.1 One and Two-dimensional Fourier Transforms

    1.2 The Discrete Fourier Transform

    1.3 Linear Systems, Convolution and Correlation

    2.1 Fermat's Principle

    2.3 Refraction in an Inhomogeneous Medium

    2.4 Matrix Methods in Paraxial Optics

    2.5 Ray Optics using MATLAB

    Chapter 3. Propagation and Diffraction of Optical Waves

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