Multiresolution wedgelet transform for image processing
Roger L. Claypoole, Richard G. Baraniuk · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Edges in images convey a great deal of information, but wavelet transforms do not provide an economical representation. Thus, popular wavelet-based compression and restoration techniques perform poorly in the presence of edges. We present her a new multiresolution wedgelet transform based on the lifting construction. This transform provides an economical edge representation and thus offers the potential for improved image processing. We demonstrate this potential with applications in image denoising.