Tai, X.-C., Lie, K.-A., Chan, T.F., Osher, S. (Eds.)
2007, IX, 440 p. 174 illus., 22 in color.
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Points to the contemporary literature in this research field
A valuable volume for people working in this area or starting to work in this area
This book publishes a collection of original scientific research articles that address the state-of-art in using partial differential equations for image and signal processing. The topics covered in this book include: level set methods for image segmentation and construction, denoising techniques, digital image inpainting, image dejittering, image registration, and fast numerical algorithms for solving these problems. The book is suitable for readers working with computer vision and visualization, image and signal processing, as well as medical imaging and numerical mathematics. The partial differential equations used for different problems discussed in this book provide some rich research topics for people working with mathematical analysis and numerical simulations.