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ICIP
2010
IEEE
14 years 9 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
TSP
2008
101views more  TSP 2008»
14 years 11 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
91
Voted
TIP
2010
112views more  TIP 2010»
14 years 9 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
ICIP
2009
IEEE
16 years 7 days ago
Improved Layer Processing For Mrc Compression Of Scanned Documents
The Mixed Raster Content (MRC) document compression is a well documented standard. Its efficiency for representing sharp text and graphics over a background has been extensively p...
ICIP
2005
IEEE
16 years 26 days ago
Presegmentation of high-resolution satellite images with a multifractal reconstruction scheme based on an entropy criterium
The last generation of satellites leads to the very high-resolution images which offer a high quality of detailed information about the Earth's surface. However, the exploita...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini