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» Bayesian Restoration of Noisy Images with the EM Algorithm
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ICIP
2003
IEEE
14 years 9 months ago
Fast GEM wavelet-based image deconvolution algorithm
The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
José M. Bioucas-Dias
IPAS
2008
13 years 9 months ago
Deblurring noisy radial-blurred images: spatially adaptive filtering approach
The deblurring of images corrupted by radial blur is studied. This type of blur appears in images acquired during any camera translation having a substantial component orthogonal ...
Giacomo Boracchi, Alessandro Foi, Vladimir Katkovn...
CVPR
2005
IEEE
14 years 9 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
SIGGRAPH
1996
ACM
13 years 11 months ago
Combining Frequency and Spatial Domain Information for Fast Interactive Image Noise Removal
Scratches on old films must be removed since these are more noticeable on higher definition and digital televisions. Wires that suspend actors or cars must be carefully erased dur...
Anil N. Hirani, Takashi Totsuka
ACCV
2006
Springer
13 years 11 months ago
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
Hongwei Zheng, Olaf Hellwich