Sparse Overcomplete Denoising: Aggregation Versus Global Optimization-Reference-Cited by-同舟云学术

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Sparse Overcomplete Denoising: Aggregation Versus Global Optimization

Published:2017-10 Issue:10 Volume:24 Page:1468-1472
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Carrera Diego,Boracchi Giacomo,Foi Alessandro,Wohlberg Brendt

Funder

Academy of Finland

U.S. Department of Energy via the LANL/LDRD Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://ieeexplore.ieee.org/ielaam/97/8012954/7997904-aam.pdf

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems;IEEE Signal Processing Letters;2023

2. Image Reconstruction for ECT under Compressed Sensing Framework Based on an Overcomplete Dictionary;Computer Modeling in Engineering & Sciences;2022

3. Universal Frame Thresholding;IEEE Signal Processing Letters;2020

4. Variations on the Convolutional Sparse Coding Model;IEEE Transactions on Signal Processing;2020

5. A Unified View on Patch Aggregation;Journal of Mathematical Imaging and Vision;2019-11-01

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