Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
Figure 1
It shows that the high-frequency subbands by the derived filter can reveal more features than that by the commonly used tensor-product wavelet filter. (a) Decomposition of the “Lena” image by the derived filter. (b) Decomposition of the “Lena” image by tensor-product filter. All the coefficients in the high-frequency subbands are magnified by a factor 20 to see the difference.
