This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
to appear in Proc. IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, March, 2008 High-dynamic-range medical images take intensity values which cannot be visualized o...
This paper evaluates how much extended dictionary-based code compression techniques can reduce the static code size. In their simplest form, such methods statically identify ident...
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
This paper is concerned with the efficient transmission of scalable compressed images over lossy communication channels. Recent works have proposed several strategies for assignin...