Improving the resolution scalability of orientation adaptive wavelets
Jonathan Gan, David Taubman · 2008
Oriented wavelets have attracted attention in recent times due to their superior coding performance of images containing diagonal features. We focus on a scheme which effectively aligns the wavelet transform to edges by lifting between shift-interpolated pixels. While compression is improved, poor specification of the orientation can introduce additional aliasing to the lower resolution subband. In this paper, we find that enhanced estimation of the shift field improves both the visual quality of the low resolution subband and compression of the overall image. We also apply an antialiasing transform to the packet decomposition created by the oriented wavelet, which substantially improves the lower resolution at a cost of a reduction in the coding performance.