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Wiener deconvolution

Known as: Anti-blurring 
In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the… 
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Papers overview

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2017
2017
A new method based on image restoration is proposed for defocused fingerprint image enhancement in this paper. First, a model of… 
2015
2015
In this letter, we propose a global method for registering color images with respect to translation. Our approach is based on the… 
2006
2006
Anelastic attenuation of seismic energy is considered to be a minimum phase process. Gabor deconvolution aims at the simultaneous… 
2006
2006
By the modern time series analysis methods, based on ARMA innovation model and augmented state space model, a multisensor optimal… 
2003
2003
SUMMARY Seismic data is arguably always nonstationary in its Fourier spectral character since anelastic attenuation processes are… 
2003
2003
Lateral crosstalk in CMOS imaging arrays deter effective utilization of small pixel sizes (e.g., < 5.0 /spl mu/m /spl times/ 5.0… 
2001
2001
Based on the autoregressive moving average (ARMA) innovation model, the white noise Wiener deconvolution filters are pressented… 
2000
2000
Using the modern time series analysis method, based on the autoregressive moving average (ARMA) innovation model and white noise… 
1991
1991
The split‐step Fourier method is used to prestack migrate two synthetic borehole‐to‐surface shot gathers. Model structures in the… 
1989
1989
  • J. Letcher
  • 1989
  • Corpus ID: 19410235
A computer software technique has been developed and employed to insert a modified‐Wiener‐deconvolution filter (an optimal filter…