Multiresolution support applied to image filtering and restoration
Graphical Models and Image Processing
Image processing and data analysis: the multiscale approach
Image processing and data analysis: the multiscale approach
Signal Processing - Image and Video Coding beyond Standards
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Compressive Algorithms--Adaptive Solutions of PDEs and Variational Problems
Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII
A proximal iteration for deconvolving Poisson noisy images using sparse representations
IEEE Transactions on Image Processing
A fast multilevel algorithm for wavelet-regularized image restoration
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A SURE approach for digital signal/image deconvolution problems
IEEE Transactions on Signal Processing
Sparse representation based iterative incremental image deblurring
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Restoration of Poissonian images using alternating direction optimization
IEEE Transactions on Image Processing
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
Journal of Mathematical Imaging and Vision
A coordinate gradient descent method for l1-regularized convex minimization
Computational Optimization and Applications
Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing
SIAM Journal on Scientific Computing
Alternating Direction Method for Image Inpainting in Wavelet Domains
SIAM Journal on Imaging Sciences
Image deconvolution using incomplete Fourier measurements
International Journal of Imaging Systems and Technology
Directionlet-based denoising of SAR images using a Cauchy model
Signal Processing
Harmonic analysis filtering techniques for forced and decaying homogeneous isotropic turbulence
Computers & Mathematics with Applications
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We propose in this paper a new deconvolution approach, which uses both the wavelet transform and the curvelet transform in order to benefit from the advantages of each. We illustrate the results with simulations.