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ICIP
2004
IEEE
14 years 9 months ago
Spatial scalability and compression efficiency within a flexible motion compensated 3D-DWT
We investigate the implications of the conventional "t+2D" MC 3D-DWT structure for spatial scalability, and propose a more exible "2D+t+2D" structure. An initi...
Nagita Mehrseresht, David Taubman
IPPS
1999
IEEE
13 years 11 months ago
An Efficient Implementation Method of Fractal Image Compression on Dynamically Reconfigurable Architecture
Abstract. This paper proposes a method for implementing fractal image compression on dynamically reconfigurable architecture. In the encoding of this compression, metric computatio...
Hidehisa Nagano, Akihiro Matsuura, Akira Nagoya
ICPR
2006
IEEE
14 years 8 months ago
Estimating the Optimal Quantization Parameter in H.264
The quantization parameter (QP) has a very important impact on the compression rate in H.264. In this paper we show that in order to achieve efficient rate-control coding a good e...
Attila Licsár, Gergely Császá...
CORR
2008
Springer
151views Education» more  CORR 2008»
13 years 7 months ago
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Compressive sampling offers a new paradigm for acquiring signals that are compressible with respect to an orthonormal basis. The major algorithmic challenge in compressive sampling...
Joel A. Tropp, Deanna Needell
SUTC
2010
IEEE
13 years 5 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...