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TIP
2010
112views more  TIP 2010»
13 years 8 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
ICASSP
2011
IEEE
13 years 1 months ago
Incoherent color frames for compressive demosaicing
In this paper, we explore the notion of using frames to project sensed colors within their inherently 3D space onto a larger number of color basis vectors. In particular, we devel...
Abdolreza Abdolhosseini Moghadam, Mohammad Aghagol...
DCC
2008
IEEE
14 years 9 months ago
Object-Based Regions of Interest for Image Compression
A fully automated architecture for object-based region of interest (ROI) detection is proposed. ROI's are defined as regions containing user defined objects of interest, and ...
Sunhyoung Han, Nuno Vasconcelos
LATIN
2010
Springer
13 years 11 months ago
Lightweight Data Indexing and Compression in External Memory
In this paper we describe algorithms for computing the BWT and for building (compressed) indexes in external memory. The innovative feature of our algorithms is that they are light...
Paolo Ferragina, Travis Gagie, Giovanni Manzini
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
13 years 4 months ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...