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Sources and Models of Degradation
A Posteriori Determined Degradation Parameters
5 other sections not shown
algorithm assumed assumption becomes block Toeplitz Chapter computational constraint convolution covariance criterion defined degradation degrees of freedom density derived described developed diagonal digital image discrete discrete-discrete discussed effects eigenspace eigenvalues eigenvectors entropy Equation example Figure film Fourier domain Fourier matrix Fourier transform Gaussian H(wx ill-conditioned illustrate image formation system image g image models image plane image processing image restoration problem imaging system inverse filter linear algebraic linear system matrix H methods minimize MMSE moderate distortion motion blur noise nonlinear notation object distribution object plane objective function operator optical optical transfer function optimization original object outer product parameters point source point-spread-function power spectrum properties pseudo-inverse PSF matrix radiant energy recorded image regions restoration filter restoration process rows sampling Section sensor signal-to-noise ratio singular value decomposition solution space-invariant point-spread function spatial frequency statistics SVPSF techniques tion two-dimensional variable vector Wiener filter zero