Abstract
A general computational algorithm for Unified Focus and Defocus Analysis (UFDA) is presented. As such, a reasonably complete theoretical and implementation framework for application of UFDA in practical machine vision is given. The algorithm presented deals with variable number of input images in an optimal fashion to improve accuracy and computational efficiency. Experimental results show that estimating focused images from a small number of defocused images is difficult.
| Original language | English |
|---|---|
| Pages (from-to) | 146-156 |
| Number of pages | 11 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3457 |
| DOIs | |
| State | Published - 1998 |
| Event | Mathematical Modeling and Estimation Techniques in Computer Vision - San Diego, CA, United States Duration: Jul 22 1998 → Jul 23 1998 |
Keywords
- Image defocus analysis
- Image focus analysis
- Optimization
- Three-dimensional scene recovery
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