Wavelet Theory and Application/a Special Issue of the Journal of Mathematical Imaging and Vision/Reprinted from the Journal of Mathematical Imaging A

The development of wavelet transform has provided a wealth of new mathematical results and has made possible a common ground for researchers working in a wide variety of fields, including harmonic analysis, mathematical physics, digital signal processing, image processing, and computer vision. This book presents a wide-ranging collection of perspectives on wavelets and multiresolution signal analysis by authors from a variety of disciplines. The analysis of signals and phenomena at multiple scales of resolution remains an evolving science. Thus the contributions in this book provide a snapshot of a maturing subject, where the principles of multiresolution analysis and the contributions of wavelet transforms are further distilled. The seven chapters included in this book are grouped into three general areas: (1) image compression techniques, (2) mathematical models and formulation, and (3) applications in medical imaging and targe recognition. Wavelet Theory and Application is an edited volume of original research.Laine, Andrew F. is the author of 'Wavelet Theory and Application/a Special Issue of the Journal of Mathematical Imaging and Vision/Reprinted from the Journal of Mathematical Imaging A', published 1993 under ISBN 9780792393573 and ISBN 0792393570.