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» Image Compression Using Shift-Invariant Dyadic Wavelets
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ECCV
2008
Springer
14 years 11 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
VISUALIZATION
2002
IEEE
14 years 2 months ago
Interactive Rendering of Large Volume Data Sets
We present a new algorithm for rendering very large volume data sets at interactive framerates on standard PC hardware. The algorithm accepts scalar data sampled on a regular grid...
Stefan Guthe, Michael Wand, Julius Gonser, Wolfgan...
ICIP
1998
IEEE
14 years 10 months ago
Very Low Bit Rate Wavelet-based Scalable Video Compression
Rate scalable video compression is appealing for low bit rate applications, such as video telephony and wireless communication, where bandwidth available to an application cannot ...
Eduardo Asbun, Paul Salama, Ke Shen, Edward J. Del...
ICIP
2002
IEEE
14 years 10 months ago
Robust still image coding using lapped transforms with block classification
Very efficient still image compression methods exist today, but most of them are not fit for transmission on error prone channels. One example of state-of-the-art robust image cod...
Arthur L. A. da Cunha, Weiler Alves Finamore, Edua...
GRAPHICSINTERFACE
2007
13 years 10 months ago
Wavelet encoding of BRDFs for real-time rendering
Acquired data often provides the best knowledge of a material’s bidirectional reflectance distribution function (BRDF). Its integration into most real-time rendering systems re...
Luc Claustres, Loïc Barthe, Mathias Paulin