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....
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...
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...
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...
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...