Wavelet Theory and Application

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 target recognition.