Titlebook: Wavelets in Signal and Image Analysis; From Theory to Pract Arthur A. Petrosian,Fran?ois G. Meyer Book 2001 Springer Science+Business Media

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Multiscale Bayesian Estimation and Data Rectificationon offer attractive alternatives to traditional single scale methods by exploiting the ability of wavelets to approximately decorrelate many autocorrelated stochastic processes and extract deterministic features in a signal. This chapter describes several important features of the framework, (a) a B

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Empirical Tests for Evaluation of Multirate Filter Bank Parametersoefficients. Each test returns a numerically observed estimate of a 1 × . vector parameter in which the .. element corresponds to the .. filter band. These vector valued parameters can be readily converted to scalar valued parameters for comparison of filter bank performance or optimization of filte

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Towards Bridging Scale-Space and Multiscale Frame Analyses that it is due to unaccounted correlation structure in the image. We subsequently propose a solution based on a nonlinear theme of a wavelet frame-based technique. This, by the same token establishes a theoretical bridge between the scale space methodology and the multiscale analysis approach. We p

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Towards Bridging Scale-Space and Multiscale Frame Analyses that it is due to unaccounted correlation structure in the image. We subsequently propose a solution based on a nonlinear theme of a wavelet frame-based technique. This, by the same token establishes a theoretical bridge between the scale space methodology and the multiscale analysis approach. We p

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Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysishey measure pattern quality along the most important perceptual dimensions. In other words, we quantify and classify patterns according to their directionality, symmetry, regularity and type of regularity. After the feature extraction, pattern classification (i.e. replicability analysis) is performe

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Wavelets for Image Fusione fusion. The following sections describe three different wavelet transforms and the way they can be employed to fuse 2-D images. These include: the discrete wavelet transform (DWT); the dual-tree complex wavelet transform (DT-CWT); and Mallat’s discrete dyadic wavelet transform (DDWT), which can al