Abstract
This study experiments with novel ways to design biorthogonal
wavelet filters for use in signal/image compression applications.
The filters are constructed by directly minimizing the energy of a
decomposed signal- or image's high frequency subbands.
Particularly for images this can result in filters who return
higher PSNR values at low bit-rate coding.