Wavelets and curvelets for image deconvolution: A combined approach

Jean Luc Starck; Mai K. Nguyen; Fionn Murtagh

doi:10.1016/S0165-1684(03)00150-6

Wavelets and curvelets for image deconvolution: A combined approach

Jean Luc Starck, Mai K. Nguyen, Fionn Murtagh

Research output: Contribution to journal › Article › peer-review

148 Citations (Scopus)

Abstract

A image deconvolution approach was studied. The approach used both the wavelet transform and the curvelet transform for solving denoising problems. The results were illustrated with simulations.

Original language	English
Pages (from-to)	2279-2283
Number of pages	5
Journal	Signal Processing
Volume	83
Issue number	10
Early online date	23 Jul 2003
DOIs	https://doi.org/10.1016/S0165-1684(03)00150-6
Publication status	Published - 1 Oct 2003
Externally published	Yes

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title = "Wavelets and curvelets for image deconvolution: A combined approach",

abstract = "A image deconvolution approach was studied. The approach used both the wavelet transform and the curvelet transform for solving denoising problems. The results were illustrated with simulations.",

keywords = "Curvelet, Deconvolution, Filtering, Wavelet",

author = "Starck, {Jean Luc} and Nguyen, {Mai K.} and Fionn Murtagh",

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T1 - Wavelets and curvelets for image deconvolution

T2 - A combined approach

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AU - Nguyen, Mai K.

AU - Murtagh, Fionn

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Y1 - 2003/10/1

N2 - A image deconvolution approach was studied. The approach used both the wavelet transform and the curvelet transform for solving denoising problems. The results were illustrated with simulations.

AB - A image deconvolution approach was studied. The approach used both the wavelet transform and the curvelet transform for solving denoising problems. The results were illustrated with simulations.

KW - Curvelet

KW - Deconvolution

KW - Filtering

KW - Wavelet

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U2 - 10.1016/S0165-1684(03)00150-6

DO - 10.1016/S0165-1684(03)00150-6

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VL - 83

SP - 2279

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JO - Signal Processing

JF - Signal Processing

IS - 10

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Wavelets and curvelets for image deconvolution: A combined approach

Abstract

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