| Abstract [eng] |
The discrete wavelet (Haar, Le Gall, Daubechies etc.) transforms have been used effectively in many vital applications such as transient signal analysis, numerical analysis, computer vision, image compression and in other audio visual applications. The discrete Daubechies D4 wavelet transform has been chosen for this work. Two versions of the transform are reviewed in general, representing and analyzing their main properties. To evaluate the energy compaction property of the modified version of the D4 transform (with respect to its basic version), the hyperbolic image filters and image smoothness estimates have been employed. |
