Dictionaries for sparse representation modeling
R Rubinstein, AM Bruckstein, M Elad - Proceedings of the IEEE, 2010 - ieeexplore.ieee.org
Sparse and redundant representation modeling of data assumes an ability to describe
signals as linear combinations of a few atoms from a pre-specified dictionary. As such, the …
signals as linear combinations of a few atoms from a pre-specified dictionary. As such, the …
Multidimensional compressed sensing and their applications
CF Caiafa, A Cichocki - Wiley Interdisciplinary Reviews: Data …, 2013 - Wiley Online Library
Compressed sensing (CS) comprises a set of relatively new techniques that exploit the
underlying structure of data sets allowing their reconstruction from compressed versions or …
underlying structure of data sets allowing their reconstruction from compressed versions or …
Cell-phone-based platform for biomedical device development and education applications
In this paper we report the development of two attachments to a commercial cell phone that
transform the phone's integrated lens and image sensor into a 350× microscope and visible …
transform the phone's integrated lens and image sensor into a 350× microscope and visible …
Multidimensional directional filter banks and surfacelets
In 1992, Bamberger and Smith proposed the directional filter bank (DFB) for an efficient
directional decomposition of 2-D signals. Due to the nonseparable nature of the system …
directional decomposition of 2-D signals. Due to the nonseparable nature of the system …
Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization
M Elad, B Matalon, M Zibulevsky - Applied and Computational Harmonic …, 2007 - Elsevier
This work addresses the problem of regularized linear least squares (RLS) with non-
quadratic separable regularization. Despite being frequently deployed in many applications …
quadratic separable regularization. Despite being frequently deployed in many applications …
Iterative thresholding compressed sensing MRI based on contourlet transform
Reducing the acquisition time is important for clinical magnetic resonance imaging (MRI).
Compressed sensing has recently emerged as a theoretical foundation for the …
Compressed sensing has recently emerged as a theoretical foundation for the …
Hybrid secure and robust image watermarking scheme based on SVD and sharp frequency localized contourlet transform
E Najafi, K Loukhaoukha - Journal of information security and applications, 2019 - Elsevier
In this paper, using singular value decomposition (SVD) and sharp frequency localized
contourlet transform (SFLCT) a secure and robust image watermarking procedure is …
contourlet transform (SFLCT) a secure and robust image watermarking procedure is …
[PDF][PDF] 改进拉普拉斯能量和的尖锐频率局部化Contourlet 域多聚焦图像融合方法
屈小波， 闫敬文， 杨贵德 - 光学精密工程, 2009 - csrc.xmu.edu.cn
为了克服Contourlet 融合在远离支撑区间上出现的混叠成分, 抑制融合图像在奇异处产生伪吉布
斯现象, 提出改进拉普拉斯能量和的尖锐频率局部化Contourlet (Sharp Frequency Localized …
斯现象, 提出改进拉普拉斯能量和的尖锐频率局部化Contourlet (Sharp Frequency Localized …
Compressive sensing for the photonic mixer device
M Heredia Conde - Compressive Sensing for the Photonic Mixer Device …, 2017 - Springer
At the light of the fundamentals of Compressive Sensing (CS) presented in Chapter 3, it is
clear that the phase-shift-based ToF imaging systems described in Chapter 2 offer an …
clear that the phase-shift-based ToF imaging systems described in Chapter 2 offer an …
Nonparametric denoising methods based on contourlet transform with sharp frequency localization: Application to low exposure time electron microscopy images
Image denoising is a very important step in cryo-transmission electron microscopy (cryo-
TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it …
TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it …