Sciweavers

Share
AAIM
2006
Springer

A Compression-Boosting Transform for Two-Dimensional Data

10 years 5 months ago
A Compression-Boosting Transform for Two-Dimensional Data
We introduce a novel invertible transform for two-dimensional data which has the objective of reordering the matrix so it will improve its (lossless) compression at later stages. The transform requires to solve a computationally hard problem for which a randomized algorithm is used. The inverse transform is fast and can be implemented in linear time in the size of the matrix. Preliminary experimental results show that the reordering improves the compressibility of digital images.
Qiaofeng Yang, Stefano Lonardi, Avraham Melkman
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where AAIM
Authors Qiaofeng Yang, Stefano Lonardi, Avraham Melkman
Comments (0)
books