353 citations · 3k across the 80 of their papers we have counts for
6 papers · 1 filter
Generalized Tree-Based Wavelet Transform
Idan Ram, Michael Elad, Israel Cohen
In this paper we propose a new wavelet transform applicable to functions defined on graphs, high dimensional data and networks. The proposed method generalizes the Haar-like transf…
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Tomer Peleg, Yonina C. Eldar, Michael Elad
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in…
RIP-Based Near-Oracle Performance Guarantees for Subspace-Pursuit, CoSaMP, and Iterative Hard-Thresholding
Raja Giryes, Michael Elad
This paper presents an average case denoising performance analysis for the Subspace Pursuit (SP), the CoSaMP and the IHT algorithms. This analysis considers the recovery of a noisy…
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
Joseph Shtok, Michael Zibulevsky, Michael Elad
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru…
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods
Raja Giryes, Michael Elad, Yonina C Eldar
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work…
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
Javier Turek, Irad Yavneh, Matan Protter +1
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated as…