wavelets are mathematical functions that divide data into different frequency components, and then study each component with a resolution matched to its scale. first generation wavelets have proved useful in many applications in engineering and computer science. however they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data second generation wavelets and applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics. this book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images.