Quadratic vs cubic spline - wavelets for image representation and compression

The Wavelet Transform generates a sparse multi-scale signal representation which may be readily compressed. To implement such a scheme in hardware, one must have a computationally cheap method of computing the necessary transform data. The use of semi-orthogonal quadratic spline wavelets allows one to maintain a suitable level of smoothness in the MRA whilst enabling cheap computation. Among the other advantages aaorded by such a scheme are easily implementable boundary conditions and the existence of either linear or generalized linear phase in the wavelet lters, which has important consequences for signal compression. For image representation, a compressed spline MRA i.e., an MRA in which`redundant' basis coeecients have been ignored, allows us to generate a spline representation of an image which (for low order splines) may be readily displayed on specialised graphics hardware. Such a representation may also be used directly to generate a progressively transmitted image.