Concept

Pyramide (traitement d'image)

Publications associées (66)

Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models

We present a new statistical model for characterizing texture images based on wavelet-domain hidden Markov models. With a small number of parameters, the new model captures both the subband marginal distributions and the dependencies across scales and orie ...

2002

Efficient image representation by anisotropic refinement in Matching Pursuit

Pascal Frossard, Pierre Vandergheynst

This paper presents a new image representation method based on anisotropic refinement. It has been shown that wavelets are not optimal to code 2-D objects which need true 2-D dictionaries for efficient approximation. We propose to use rotations and anisotr ...

EUSIPCO2001

Contourlets

Martin Vetterli, Minh Do

This chapter focuses on the development of a new \true" two- dimensional representation for images that can capture the intrinsic geo- metrical structure of pictorial information. Our emphasis is on the discrete framework that can lead to algorithmic imple ...

Academic Press2001

Adaptive wavelet thresholding for image denoising and compression

Martin Vetterli

The first part of this paper proposes an adaptive, data-driven threshold for image denoising via wavelet soft-thresh- olding. The threshold is derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distr ...

2000

Multi-Scale B-Spline Snakes for General Contour Detection

Michaël Unser

Traditional snakes suffer from slow convergence speed (many control points) and difficult to adjust weighting factors for internal energy terms. We propose an alternative formulation using cubic B-splines, where the knot spacing is variable and controlled ...

SPIE1998

Simulation of 1D ARPES Data and Measures to recover the underlying Signal

Nadine Gächter

Fourier deconvolution is a good tool to remove the blurring of images with a very high SNR. However it suffers under severe noise degradation and becomes impracticable at a SNR of 20dB. If the convolution width is very high this happens even earlier. The a ...

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