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» Compressive Sampling Vs. Conventional Imaging
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ICIP
2007
IEEE
15 years 11 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
ICIP
2008
IEEE
15 years 11 months ago
Capturing light field textures for video coding
There is a significant amount of redundancy between video frames or images that can be explained by considering these observations as samples of a light field function. By using a...
William Mantzel, Justin K. Romberg
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 4 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
ICIP
2004
IEEE
15 years 11 months ago
Practical low bit rate predictive image coder using multi-rate processing and adaptive entropy coding
The modified Differential Pulse Coded Modulation (DPCM) codec with multi-rate processing has been shown to able to code source with monotonically decreasing spectrum efficiently a...
Anna N. Kim, Tor A. Ramstad
VCIP
2000
146views Communications» more  VCIP 2000»
14 years 11 months ago
Novel video coding scheme using adaptive mesh-based interpolation and node tracking
An alternative method to H.263 for encoding of moving images at bit rates below 64 kbit/s is presented using adaptive spatial subsampling, mesh based interpolation and node tracki...
Eckhart Baum, Joachim Speidel