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Figueiredo et al., 2007 - Google Patents

Majorization–minimization algorithms for wavelet-based image restoration

Figueiredo et al., 2007

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Document ID
5368136690710037915
Author
Figueiredo M
Bioucas-Dias J
Nowak R
Publication year
Publication venue
IEEE Transactions on Image processing

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Snippet

Standard formulations of image/signal deconvolution under wavelet-based priors/regularizers lead to very high-dimensional optimization problems involving the following difficulties: the non-Gaussian (heavy-tailed) wavelet priors lead to objective …
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06F17/141—Discrete Fourier transforms
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    • G—PHYSICS
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
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