ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Quantizer design for lossy compression with mismatched side information (SI) at the decoder is investigated. The statistical dependency between the source and SI is assumed to be ...
IJBRA
2006
13 years 4 months ago
2006
: As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates...
COMPGEOM
2001
ACM
13 years 8 months ago
2001
ACM
This paper addresses the problem of lossy compression of arrangements. Given an arrangement of n lines in the plane, we show how to construct another arrangement consisting of man...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
A new method for lossy compression of bilevel images based on Markov random fields (MRFs) is proposed. It preserves key structural information about the image, and then reconstru...
HAPTICS
2007
IEEE
13 years 11 months ago
2007
IEEE
The paper specifies a novel coder/decoder that compresses sequences of 3D texture data to support the haptic rendering of animated volumes. Lossy compression gives 25% of the ori...
DCC
2010
IEEE
13 years 11 months ago
2010
IEEE
Motivated by the Markov chain Monte Carlo (MCMC) relaxation method of Jalali and Weissman, we propose a lossy compression algorithm for continuous amplitude sources that relies on...
DCC
2003
IEEE
14 years 4 months ago
2003
IEEE
DCC
2008
IEEE
14 years 4 months ago
2008
IEEE
Recent advances in compressed data structures have led to the new concept of self-indexing; it is possible to represent a sequence of symbols compressed in a form that enables fas...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
A new method for the lossy compression of segmentation maps is presented. In the first stage of the proposed algorithm, region boundary segments are coded, providing a coarse poly...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
A progressive image compression scheme is investigated using reversible integer discrete cosine transform (RDCT) which is derived from the matrix factorization theory. Previous te...