Detection of low contrast targets based on lifting scheme wavelet transform

This paper present a fast algorithm for detection of low contrast objects by using wavelet filters based on lifting scheme. The advantage is robust to noise. According Swelden´s, lifting wavelet filters are biorthogonal wavelet filters containing free parameters . We use reference image of targets to train the lifting terms, so that the learnt wavelet filters have the features of targets. Then applying such filters to the images including targets taken from camera system. We can detect the locations where the high frequency components are almost the same as those of the target image.