IMGS-616-20131 — FOURIER METHODS FOR IMAGING (RIT #11857)

website: http://www.cis.rit.edu/class/simg616/

Relevant Published Materials:

Though this list is meant to be fairly comprehensive, I am sure that there are others that should be included – feel free to suggest additions to the list. Library of Congress call numbers are included for books available in the RIT library. The comments are my own gauges of usefulness to this class and to imaging in general. You should spend some time in the library looking over these books!

Text:

1.       Fourier Methods in Imaging, Roger L. Easton, Jr., Wiley, 2010, ISBN 978-0-470-68983-7

Other Textbooks (and very useful!):

2.       Foundations of Image Science, H.H. Barrett & K.D. Myers, Wiley, 2004, ISBN 0-471-15300-1, Catalog number TK8315.B37 2004

3.       Linear Systems, Fourier Transforms, and Optics, Jack D.Gaskill, Wiley, 1978, QC355.2.G37 (source of many homework problems)

4.       Two-Dimensional Imaging, R.N. Bracewell, Prentice-Hall, 1995, TA1637.B73

5.       Fourier Analysis and Imaging, R.N. Bracewell, Springer 2004, ISBN 978-030648187

6.       Digital Image Processing, K.R. Castleman, Prentice-Hall, 1996 (§1-2,§9-16), (far more comprehensive than title implies; excellent for a variety of imaging systems, demonstrates relationship of linear systems to optical systems, I really like this book), TA1632.C37

Mathematical Foundations of Linear Systems:

1.       For review, Schaum’s Outlines on Calculus, Linear Algebra, Vector Analysis, Matrices, Complex Variables; also Schaum’s Mathematical Handbook

2.       Advanced Mathematical Methods for Engineering and Science Students, G. Stephenson, P.M.Radmore, Cambridge, 1990 (particularly §2 on special functions and §7 on Fourier transforms)

3.       Linear Algebra and its Applications (3rd Edition), Gilbert Strang, Harcourt, Brace, Jovanovitch, 1988, (Chapters on orthogonal projections, eigenvectors, change of bases)

4.       Any of several texts on mathematical physics, e.g., Kreysig and Kreysig, Advanced Engineering Mathematics, Arfken, Mathematical Methods for Physicists, Byron and Fuller Mathematics of Classical and Quantum Physics, etc. (Every scientist needs at least one of these) Byron and Fuller is available as a Dover paperback reprint for under $25 (www.doverpublications.com)

 

Fourier Transforms in Mathematics:

1.       The Fourier Integral and Certain of its Applications, N. Wiener, Dover Publications reprint, 1958 (first published in 1933 – tediously mathematical), QA404.W47

2.       An Introduction to the Theory of Fourier's Series and Integrals, H.S. Carslaw, Dover Publications reprint, 1950 (first published in 1930 -- also mathematical, but easier to read than Wiener) QA404.C32

3.       A Handbook of Fourier Theorems, D.C. Champeney, Cambridge, 1987, (best of the three) QA403.5.C47

 

Fourier Transforms in Physics/Engineering:

1.       Fourier Series and Boundary-Value Problems, R.V. Churchill, McGraw-Hill, 4th Edition, 1987, (classic text with lots of physical applications), QA404.C6

2.       A First Course in Fourier Analysis, D.M. Kammler, Prentice-Hall, 2000, (useful discussions of mathematical and computational aspects), QA403.5.K36

3.       Fourier Transforms and their Physical Applications, D.C. Champeney, Academic Press, 1973, (excellent book), QA403.5.C46

4.       Fourier methods for mathematicians, scientists, and engineers, M. Cartwright, Ellis Horwood, 1990, (paperback, introductory, lots of physical applications), QA403.5.C37

5.       The Fourier Transform and Its Applications (2nd Edition, Revised), R.N.Bracewell, McGraw-Hill, 1986, (the standard reference on 1-D Fourier, good discussion of discrete transforms and applications), QA403.5.B7

6.       Fourier Transforms, An Introduction for Engineers, R.M. Gray and J.W. Goodman, Kluwer Academic Publishers, 1995, (aimed at discrete transform, not as useful as I expected), TK5102.9.G73

7.       A student's guide to Fourier transforms, with Applications to Physics and Engineering, J.F. James, Cambridge, 1996, QC20.7.F67J36, (reissued 2011, thin, cheap as paperback, useful)

8.       The Fourier Integral and its Applications, A. Papoulis, McGraw-Hill, 1962, (old, pre-FFT, though good mix of mathematical theory and practical applications), QA404.P32

9.   Fourier Transforms, I.N. Sneddon, Dover Publications, 1995 (first published in 1951), (similar comments to Papoulis), QA404.S53

10. Fourier Analysis, T.W. Körner, Cambridge, 1988, (potpourri of Fourier from nonconventional point of view -- historically driven), QA403.5.K67

11. Exercises for Fourier Analysis, T.W. Körner, Cambridge, 1993, (see comment above) ,QA403.5.K66

12. Integral Transforms in Science and Engineering, K.B. Wolf, Plenum, 1979, (mathematical reference), QA432.W64

13. Probability, Statistical Optics, and Data Testing, 2nd Ed. B.R. Frieden, Springer-Verlag, 1991 (particularly §4 on Fourier methods – excellent discussion of applications of statistical principles to many types of imaging problems, not just optics), QA273.F89

14. Statistical Optics, J.W. Goodman, Wiley, 1985, (applications of Fourier theory to statistics, particularly in optics), QC355.2.G66

15. Who is Fourier? A Mathematical Adventure, Transnational College of LEX, Language Research Foundation, 1995. ($25 paperback translated from Japanese, very introductory, lots of pictorial examples. usefulness limited by lack of index)

16. The Hartley Transform, R.N. Bracewell, Oxford, 1986, (describes a special case of Fourier transform that is real valued for real-valued inputs, a favorite of Bracewell) QA403.5.B73

Discrete Fourier Transforms: (more relevant to course IMGS-718 Digital Imaging Mathematics)

1.       The FFT, Fundamentals and Concepts, R.W. Ramirez, Prentice-Hall, 1985, (graphical introduction to discrete Fourier transform) QA403.5.R36

2.       The Fast Fourier Transform and its Applications, E.O. Brigham, Prentice-Hall, 1988, (excellent), QA403.B75

3.       Fast Fourier Transforms, J.S. Walker, 2nd Edition, CRC Press, 1996, (w/ DOS software), QA403.W33

4.       Multidimensional Digital Signal Processing, D.E. Dudgeon and R.M. Mersereau, Prentice-Hall, 1984 (§1-§2), (written for EEs, but good discussion of 2-D discrete transform) TK5102.5.D83

Linear Systems and Optical Imaging:

1.        Introduction to Fourier Optics, J.W. Goodman, (3rd Edition), Roberts and Co., 2005, (updated classic, the BEST book on applications of Fourier transforms in optical imaging), QC355.G65

2.        Fourier Optics, An Introduction (2nd Edition), E.G. Steward, Wiley, 1987, (useful introduction, lower level than Goodman), QC454.F7S83

3.        Introduction to the Optical Transfer Function, C.S. Williams and O.A. Becklund, Wiley, 1989, (specialized topic of linear systems in optics), QC367.W55

4.        Systems and Transforms with Applications in Optics, A. Papoulis, McGraw-Hill, 1968, (another classic, Papoulis has LOTS of useful things to say!), QC383.P23

5.        Applications of Optical Fourier Transforms, H. Stark, ed., Academic Press, 1982, (as implied, discussions of specific applications), TA1632.A68

6.        Quantitative Coherent Imaging: Theory, Methods, and Some Applications, J.M.Blackledge, Academic Press, 1989, (nice description of subject, unusual notation/spellings), QC476.C6.B553

7.        The New Physical Optics Notebook, Reynolds, DeVelis, Parrent, and Thompson, SPIE Press, 1989, (applications of linear systems to optics/holography; though I am not fond of the notation, this is a very useful book that considers applications of Fourier transforms to optics and imaging), QC395.2.N48

8.        Fourier Series and Optical Transform Techniques in Contemporary Optics, Raymond Wilson, John Wiley & Sons, Inc, 1995. QC454.F7 W55 (ISBN 0-471-30357-7)

9.        Two-Dimensional Phase Unwrapping, Theory, Algorithms, and Software, Dennis C. Ghiglia and Mark D. Pratt, Wiley-Interscience, 1998. (not in RIT Library, call number is TK6582.S95G45, ISBN 0-471-24935-1)

10.     Deconvolution of Images and Spectra (Second Edition), Peter A. Jansson (ed.), Academic Press, 1997, QC451.6.F45 (ISBN 0-12-380222-9)

Image Recovery:

1.       Image Restoration and Reconstruction, R.H.T.Bates and M.J.McDonnell, Oxford University Press, 1986, (application of linear systems to imaging), TA1632.B36

2.       Image Recovery, Theory and Application, (H.Stark, ed.), Academic Press, 1987, (similar to Bates but more applications, multiple authors, fragmented), TA1632.I4824

 

Useful References from Magazines and Journals: (with links to pdf copies)

1.       “The Fourier Transform,” R.N. Bracewell, in Scientific American, June 1989, pp.86-95

2.       “Numerical Transforms,” R.N. Bracewell, in Science, v.248, 11 May 1990, pp.697-704

3.       “Fourier Analysis Using a Spreadsheet,” R.A. Dory and J.H. Harris, in Computers in Physics, Vol. 2, Nov.-Dec. 1988, pp. 83-86

4.       “A Plain Man's (sic) Guide to the FFT,” P. Kraniauskas, in IEEE Signal Processing Magazine, v.11, April 1994, pp. 24-35

5.       “Tom, Dick, and Mary Discover the DFT,” J.R. Deller, Jr., in IEEE Signal Processing Magazine, v.11 April 1994, pp. 36-50

6.       “SIGNALS, Interactive Software for One-Dimensional Signal Processing,” R.L. Easton, Jr., in Computer Applications in Engineering Education, v.1, December 1993, pp.489-501

7.       “Fast Fourier Transforms for Fun and Profit,” W.M. Gentleman and G. Sande, in Proceedings - Fall Joint Computer Conference, 1966, pp.563-578

Other books containing useful discussions of imaging subjects:

1.       Principles of Digital Image Synthesis, Andrew Glassner, Morgan-Kauffman, 1995 (two volumes), (very nice discussion of broad range of imaging topics, relevant material in §4-5,§8-10), T385.G585

2.       Image Reconstruction in Radiology, J. Anthony Parker, CRC Press, 1990, (excellent book of much more general application than title implies; written for medical students and radiologists, does not require a “high” level of mathematical knowledge, useful intuitive discussions of imaging principles) RC78.7.D53 P36

3.       Radiological Imaging, H.H. Barrett and W.Swindell, Academic Press, 1981, (terrific book, also much more general than indicated by its title), (§2, §4 on Linear Systems, §3 on Random Processes, §7 on Computed Tomography) RC78.B337

Computing Resources:

Many computational software packages are available that are helpful when learning the material in this class. CIS uses IDL™ from ITT Exelis (http://www.exelisinc.com/) as its “standard” package. It is installed on the UNIX workstations in the Center, and also is available for purchase at a substantial student discount from CIS. Other packages exist, including Mathematica™ (available on RIT VAX), MathCad™, Matlab™, and Scientific Workplace™, and ENVI®. All these packages allow computations involving most aspects of matrix algebra and complex analysis to be evaluated quickly and (more or less) painlessly. They also have graphing routines which may assist in visualizing concepts. In my opinion, most of the packages have a fairly steep learning curve – you cannot do much that is useful “out of the box.” The programs also have their respective advantages and disadvantages, e.g., my opinion is that the interfaces to Mathematica™ and MathCAD™ are not very intuitive, which means that new users have to travel the learning curve. Conversely, experienced users are rewarded by quicker answers.

Two free programs are available for illustrating the concepts of linear systems. My (very old) DOS program, “Signals” for 1-D functions runs in DOS and in Windows up through XP. By using the “DOSBox” utility (an x86 emulator available from http://www.dosbox.com/), it will run in Windows Vista, Windows 7, Apple OS X, and Linux. The Signals program was written with the intent of being easy to use (though you must decide for yourself whether it succeeds), particularly in a classroom lecture environment. It is may be downloaded for free from the CIS website at:

http://www.cis.rit.edu/resources/software/index.html

An old (but still valid) “user manual” is available at: http://www.cis.rit.edu/resources/software/sig_manual/index.html

SignalShow

Juliet Bernstein wrote a new Java counterpart of Signals, called SignalShow, that illustrates both 1-D and 2-D cases. Releases for Windows, Macintosh OSX, and Linux) are available online at http://sourceforge.net/projects/signalshow/. Instructional videos are posted on YouTube at http://www.youtube.com/watch?v=yDNipwKTMXM and http://www.youtube.com/watch?v=DfRJFGfVGek. This program is useful for visualizing concepts in this course, as well as in “Digital Image Processing” and in “Optics for Imaging.”

Other Software Tools

Other programs are available that are helpful in this course and the followup IMGS-718 “Digital Imaging Mathematics.”

·         ImageJ is a freely available open-source program that has evolved from former versions NIHImage and ScionImage. Written in Java, the basic program and “plugins” for more advanced routines are available from the website http://rsbweb.nih.gov/ij/. Plugins are available for advanced processing relevant to this course, including the Radon transform and statistical analysis.

·         IDL / ENVI, available on many computers in the Carlson Center

·         Matlab

15 August 2013