Fourier Methods in ImagingJohn Wiley & Sons, 18 de nov. de 2010 - 960 páginas Fourier Methods in Imaging introduces the mathematical tools for modeling linear imaging systems to predict the action of the system or for solving for the input. The chapters are grouped into five sections, the first introduces the imaging “tasks” (direct, inverse, and system analysis), the basic concepts of linear algebra for vectors and functions, including complex-valued vectors, and inner products of vectors and functions. The second section defines "special" functions, mathematical operations, and transformations that are useful for describing imaging systems. Among these are the Fourier transforms of 1-D and 2-D function, and the Hankel and Radon transforms. This section also considers approximations of the Fourier transform. The third and fourth sections examine the discrete Fourier transform and the description of imaging systems as linear "filters", including the inverse, matched, Wiener and Wiener-Helstrom filters. The final section examines applications of linear system models to optical imaging systems, including holography.
This book helps students develop an understanding of mathematical tools for describing general one- and two-dimensional linear imaging systems, and will also serve as a reference for engineers and scientists |
Conteúdo
Complex Numbers and Functions | |
ComplexValued Matrices and Systems | |
1D Special Functions | |
2D Special Functions | |
Approximations to Fourier Transforms | |
Discrete Systems Sampling | |
Discrete Fourier Transforms | |
Magnitude Filtering | |
Allpass Phase Filters | |
MagnitudePhase Filters | |
Applications of Linear Filters | |
Filtering in Discrete Systems | |
Linear Operators | |
Fourier Transforms of 1D Functions | |
Multidimensional Fourier Transforms | |
Spectra of Circular Functions | |
The Radon Transform | |
Optical Imaging in Monochromatic Light | |
Incoherent Optical Imaging Systems | |
Holography | |
References | |
Termos e frases comuns
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