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http://hdl.handle.net/10012/943
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| Title: | Grid Filters for Local Nonlinear Image Restoration |
| Authors: | Veldhuizen, Todd |
| Keywords: | Mechanical Engineering
Hysteresis
Fabric Mechanics
Fabric Bending
Textile Mechanics
Cloth Simulation
Friction Models |
| Approved Date: | 1998 |
| Date Submitted: | 1998 |
| Abstract: | A new approach to local nonlinear image restoration is described, based on approximating functions using a regular grid of points in a many-dimensional space. Symmetry reductions and compression of the sparse grid make it feasible to work with twelve-dimensional grids as large as 2212. Unlike polynomials and neural networks whose filtering complexity per pixel is linear in the number of filter co-efficients, grid filters have O(1) complexity per pixel. Grid filters require only a single presentation of the training samples, are numerically stable, leave unusual image features unchanged, and are a superset of order statistic filters. Results are presented for additive noise, blurring, and superresolution. |
| Department: | Mechanical Engineering |
| Degree: | Master of Applied Science |
| URI: | http://hdl.handle.net/10012/943 |
| Appears in Collections: | Faculty of Engineering Theses and Dissertations
Electronic Theses and Dissertations (UW)
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