Sub-image extraction by learnt lifting wavelet filters
Shigeru Takano, Koichi Niijima · 2003
This paper proposes a method for extracting sub-images from a huge reference image by using learnt lifting wavelet filters. Lifting wavelet filters are biorthogonal wavelet filters containing free parameters developed by Sweldens. Our method is to learn such free parameters using some training sub-images so as to eliminate their high frequency components. The learnt wavelet filters have the feature of training sub-images. Applying such wavelet filters to the reference image, we can detect the area which has almost the same high frequency components as those of the target sub-image.