Now showing items 1-4 of 4

    • ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned Systems 

      Neelamani, Ramesh; Choi, Hyeokho; Baraniuk, Richard G. (2004-02-01)
      We propose an efficient, hybrid <i>Fourier-Wavelet Regularized Deconvolution</i> (ForWaRD) algorithm that performs noise regularization via scalar shrinkage in both the Fourier and wavelet domains. The Fourier shrinkage ...
    • Full-waveform inversion via source-receiver extension 

      Huang, Guanghui; Nammour, Rami; Symes, William (2017)
      Full-waveform inversion produces highly resolved images of the subsurface and quantitative estimation of seismic wave velocity, provided that its initial model is kinematically accurate at the longest data wavelengths. If ...
    • Wavelet-Based Deconvolution Using Optimally Regularized Inversion for Ill-Conditioned Systems 

      Neelamani, Ramesh; Choi, Hyeokho; Baraniuk, Richard G. (1999-07-20)
      We propose a hybrid approach to wavelet-based deconvolution that comprises Fourier-domain system inversion followed by wavelet-domain noise suppression. In contrast to conventional wavelet-based deconvolution approaches, ...
    • WInHD: Wavelet-based Inverse Halftoning via Deconvolution 

      Neelamani, Ramesh; Nowak, Robert David; Baraniuk, Richard G. (2002-10-20)
      We propose the <i>Wavelet-based Inverse Halftoning via Deconvolution</i> (WInHD) algorithm to perform inverse halftoning of error-diffused halftones. WInHD is motivated by our realization that inverse halftoning can be ...