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» An efficient first-order method for l1 compression of images
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SIAMIS
2011
12 years 11 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
ICIP
2007
IEEE
14 years 6 months ago
Unequal Length First-Order Linear-Phase Filter Banks for Efficient Image Coding
In this paper, we present the structure and design method for a firstorder linear-phase filter bank (FOLPFB) which has unequal filter lengths in its synthesis bank (UFLPFB). A FOL...
Yuichi Tanaka, Masaaki Ikehara, Truong Q. Nguyen
MICCAI
2010
Springer
13 years 2 months ago
Efficient MR Image Reconstruction for Compressed MR Imaging
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
ANOR
2010
87views more  ANOR 2010»
13 years 4 months ago
Image denoising via solution paths
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
Li Wang, Ji Zhu
ICIP
2009
IEEE
14 years 5 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...