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This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges. - Presents the latest developments in a variety of filter design techniques and algorithms
- Contains essential information for development of Human Vision Systems (HVS)
- Provides foundations for digital imaging and image capture technology
1. "Analysis and Optimization of Weighted Order Statistics and Stack Filters" S. Siren, P. Kuosmainen, K. Egiazarian, M. Gabbouj and J. Astola2. "Image Enhancement and Analysis with Weighted Medians"G. Arce and J. L. Paredes3. "Spatial-Rank Order Selection Filters"R. Hardie and K. Barner4. "Signal-Dependent Rank-Ordered Mean (SD-ROM) Filter"E. Abreu5. "Nonlinear Mean Filters and Their Applications in Image Filtering and Edge Detection"M. Pappas and I. Pitas6. "Two-Dimensional Teager Filters"S. Thurnhofer7. "Polynomial and Rational Operators for Image Processing and Analysis"G. Ramponi8. "Nonlinear Partial Differential Equations in Image Processing"G. Sapiro9. "Region-Based Filtering of Images and Video Sequences: a Morphological Viewpoint"P. Salembier10. "Differential Morphology"P. Maragos11. "Coordinate Logic Filters"B.G. Mertzios and K. Tsirikolias12. "Nonlinear Filters Based on Fuzzy Models"F. Russo13. "Digital Halftoning"G. Arce and D. Lau14. "Intrinsic Dimensionality: Nonlinear Image Operators and Higher Order Statistics"C. Zetzsche and G. Krieger
