Extraction of subimages by lifting wavelet filters

This paper proposes a method for extracting subimages from a huge reference image by learning lifting wavelet Biters. Lifting wavelet filters are bior thogonal wavelet filters containing free parameters developed by Sweldens. Our method is to learn such free parameters using some training subimages s o as to vanish their high frequency components in the y- and x-directions. The learnt wavelet filters have the feature of training subimages. Applying such wavelet filters to the reference image, we can detect the locations w here the high frequency components are almost the same as those of the targ et subimage.