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» Multiresolution compression and reconstruction
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ICIP
2010
IEEE
13 years 5 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...
ICASSP
2009
IEEE
14 years 2 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
SIGGRAPH
2000
ACM
13 years 12 months ago
Progressive geometry compression
We propose a new progressive compression scheme for arbitrary topology, highly detailed and densely sampled meshes arising from geometry scanning. We observe that meshes consist o...
Andrei Khodakovsky, Peter Schröder, Wim Sweld...
ICIP
1998
IEEE
13 years 12 months ago
Implicit Coding for Very Low Bit Rate Image Compression
W e explore a n image compression scheme that does not rely o n the usual additive decomposition of a n input image into a set of predefined spanning functions. The proposed schem...
Yuk-Wong Choi, Nguyen T. Thao
JC
2007
119views more  JC 2007»
13 years 7 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore