Foreword; 1. The wavelet transform; 2. Multiresolution support and filtering; 3. Deconvolution; 4. 1-D signals and Euclidean-based data analysis; 5. Geometric registration; 6. Disparity analysis and applications in remote sensing; 7. Image compression; 8. Object detection and point pattern clustering; 9. Multiscale vision models; Appendix I. Variance stabilisation; Appendix II. Software information; Acronyms; References; Index.
For graduate students and researchers already experienced in image processing and data analysis, a guide to a wide range of powerful and innovative data-analysis techniques.
'Undoubtedly, this book will be a welcome reference for anyone interested in using various image-processing methods.' Andre Csillaghy, Scientific Computing World
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