In this paper, we propose a novel design for a lifting based
system that achieves the optimal trade off between
compression and classification performances. In addition, it
can also achieve superior compression performance
compared to existing wavelet kemels. The proposed system
is based on bi-orthogonal filters and can operate in the
JPEG2000 framework. Typically, in our proposed system
the trade off point between compression and classification
is automatically determined by the system. However, the
user can also fine-tune the relative performance if required
using two adjusters (one for compression and one for
classification). Extensive simulations have been performed
to demonstrate the efficiency of OUT system. Our simulation
result shows that a 99% classification performance can be
achieved at a comparable reconstruction quality whilst a
superior compression performance over the JPEG2000
standard can be achieved at a classification rate of 70%.