Download Application of Optical Fourier Transforms by Henry Stark PDF

April 11, 2017 | Imaging Systems | By admin | 0 Comments

By Henry Stark

Show description

Read or Download Application of Optical Fourier Transforms PDF

Similar imaging systems books

Wavelet Image and Video Compression

A thrilling new improvement has taken position within the electronic period that has captured the mind's eye and skill of researchers worldwide - wavelet photo compression. This expertise has deep roots in theories of imaginative and prescient, and offers functionality advancements over all different compression tools, akin to these in line with Fourier transforms, vectors quantizers, fractals, neural nets, and so forth.

Nanostructure Semiconductor Optical Amplifiers: Building Blocks for All-Optical Processing

"Nanostructure Semiconductor Optical Amplifiers" studies all-optical processing tools at present to be had and offers semiconductor optical amplifiers (SOAs) as a brand new development block for this goal. The authors talk about the overcomes of excessive frequency operation of SOAs and suggest a brand new all-optical pumping strategy for the implementation of semiconductor optical amplifiers.

Quantifying morphology and physiology of the human body using MRI

"Although normally a qualitative strategy, MRI can be utilized to assemble quantitative info at the constitution and serve as of the human physique. whereas traditionally utilized to neurophysiology, MRI is now many times getting used to discover different organs and buildings, specifically the center and skeleton.

Still Image and Video Compression with MATLAB

This e-book describes the rules of photo and video compression concepts and introduces present and renowned compression criteria, resembling the MPEG sequence. Derivations of appropriate compression algorithms are built in an easy-to-follow type. various examples are supplied in each one bankruptcy to demonstrate the suggestions.

Extra resources for Application of Optical Fourier Transforms

Example text

7-2) where R(u) and Y(u) are the Fourier transforms of r(x) and y(x), respectively. 7-3) is the cross-term speckle noise; its appearance in Eq. 7-2) tends to corrupt our estimate of the true spectrum S(u) = |7(w)|2 from ^(u). 7-4) and the expected value of e~j2nuZ is (e~j2nuZ) = sine2 uL. 7-5) From Eqs. 7-5), we find that = JV-1(iV - 1)N sine2 uL ~ N sine2 uL for N large. Hence the expected value of Sf (u) is given by <^(w)> = S(M)[1 + AT sine2 uL]. 7-7) and for L large and u not near the origin.

In this case, the reference offset angle must be as small as possible. The setup in Fig. 2-6 serves the same purpose and allows an even smaller reference angle. The additional beam splitter might, however, introduce undesirable distortions and aberrations. Very often, holographic filters are recorded on high resolution photog­ raphic emulsions (1000 lines/mm or more). In this case, it is customary to use a large offset angle for the reference beam in order to separate the different output terms.

2-1, the resulting system is a processor with a transfer function proportional to Eq. 2-14). With an amplitude distribution 0ι(*ι> Ϊι) i n the input plane, and using Eqs. 2-12), we can write for the amplitude distribution in the output plane U2(x2, yi) = PilGMv) /* + oo J - oo · T(u, v)-] r + ao R2Gi{u,v)e-i2n{UX2+vy2)dudv J - oo 00 + I I — 00 J - 00 ' + 00 + /' + 00 \H(u,v)\2G1(u,v)e-j2ltiuX2 + vy2) dudv RH(u, v)GM v)ej27tuXRe-j2n{UX2 + vy2) du dv - 00 J — 00 • + 00 *+00 + KH*(w, V)G1(U, v)e-J2™x*e-j27liuX2 + vy2) du dv.

Download PDF sample

Rated 4.92 of 5 – based on 47 votes