Journal ArticleDOI
Sensitivity of color LMMSE restoration of images to the spectral estimate
H.J. Trussel,M.I. Sezan,D. Tran +2 more
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TLDR
The sensitivity to the spectral estimate of the original image of linear minimum mean-square error (LMMSE) color image restoration methods is determined and full-correlation Wiener restoration may be outperformed by the independent-channel restoration depending on the prototype image used in spectral estimation.Abstract:
The sensitivity to the spectral estimate of the original image of linear minimum mean-square error (LMMSE) color image restoration methods is determined. It is concluded that (i) sensitivity of the full-correlation Wiener restoration to the spectral estimate is higher than that of the independent-channel Wiener restoration, and the full-correlation restoration is extremely sensitive to windowing, (ii) among independent-channel restorations, the ones based on autoregressive spectral estimates are the least sensitive, and (iii) full-correlation Wiener restoration may be outperformed by the independent-channel restoration depending on the prototype image used in spectral estimation. >read more
Citations
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Journal ArticleDOI
Efficient multiframe Wiener restoration of blurred and noisy image sequences
TL;DR: Computationally efficient multiframe Wiener filtering algorithms that account for both intraframe (spatial) and interframe (temporal) correlations are proposed for restoring image sequences that are degraded by both blur and noise.
Patent
Method for multiframe Wiener restoration of noisy and blurred image sequences
TL;DR: In this article, a method for performing multiframe Wiener restoration of noisy and blurred image sequences that provides either a cross-correlated multiframeWiener restoration or a motion-compensated multiframe Wiiener restoration is presented.
Proceedings ArticleDOI
Generalized Wiener reconstruction of images from colour sensor data using a scale invariant prior
TL;DR: A unique scale invariant WSS prior model is described for the uncorrupted surface spectral reflectance functions and used to form linear least mean squared error (LLMSE) optimal reconstructions with constrained support operators.
Journal ArticleDOI
Simultaneous multichannel image restoration and estimation of the regularization parameters
TL;DR: A constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required.
Journal ArticleDOI
Generalized multichannel image deconvolution approach and its applications
TL;DR: A generalized regularized multichannel image deconvolution approach is proposed in which no prior knowledge of the variance of the noise at each channel or a bound on the high-frequency energy of the image are assumed.
References
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Blind deconvolution of spatially invariant image blurs with phase
TL;DR: In this paper, the frequency response of a two-dimensional spatially invariant linear system through which an image has been passed and blurred is estimated for the cases of uniform linear camera motion.
Journal ArticleDOI
Digital restoration of multichannel images
Nikolas P. Galatsanos,R.T. Chin +1 more
TL;DR: The Wiener solution of a multichannel restoration scheme uses both the within-channel and between-channel correlation; hence, the restored result is a better estimate than that produced by independent channel restoration.
Journal ArticleDOI
Karhunen-Loeve multispectral image restoration, part I: Theory
Bobby R. Hunt,O. Kubler +1 more
TL;DR: It is shown that optimal restoration must take place in the Karhunen-Loeve domain and that high quality approximate multispectral restorations must be achieved at less computational cost than exact restoration.
Journal ArticleDOI
Maximum likelihood image and blur identification: a unifying approach
TL;DR: A number of different algorithms have recently been proposed to identify the image and blur model parameters from an image that is black-and-white.
Journal ArticleDOI
Restoration of color images by multichannel Kalman filtering
Nikolas P. Galatsanos,R.T. Chin +1 more
TL;DR: A Kalman filter for optimal restoration of multichannel images is presented, derived using a multi-channel semicausal image model that includes between-channel degradation.