Deconvolution of Images and Spectra
A technique of signal and image processing, deconvolution is applied to difficult-to-read data. This text conveys a clear understanding of the field, assuming only a working knowledge of calculus. Self-contained chapters emphasize applications rather than theory, offering a practical and easy-to-understand approach. 1997 edition.
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algorithm amplitude applied approximation band limited Blass blurred broadening cell Chapter Cittert’s method coefficients constraint convergence convex sets convolution convolved Crilly data points deconvolution methods deconvolved detector discrete Fourier discrete Fourier transform discussed Doppler effects electrons entropy equations error example factor Figure finite extent ﬂux Fourier series Fourier spectrum Fourier transform Fourier transform spectroscopy frequency Frieden FWHM Gaussian given half-width high-frequency HST Images Hubble Space Telescope IEEE image data image restoration impulse response impulse response function infrared instrument interferogram inverse filtering inverse-filtered Jansson linear methods minimizing noise nonlinear observed obtained optical peak photons pixels POCS prefiltering prior knowledge problem projection relaxation function resolution result RL iteration sample Section shown in Fig signal signal-to-noise ratio smoothing solution Space Telescope spatial spectral components spectral lines spectrometer spectroscopy spread function theorem three-dimensional tion truncated variable vector wave number wavelength width window function zero