Multi-object digital auto-focusing using image fusion
- Authors
- Shin, J; Maik, V; Lee, J; Paik, Joonki
- Issue Date
- Sep-2005
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS, v.3708, pp 202 - 209
- Pages
- 8
- Journal Title
- ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS
- Volume
- 3708
- Start Page
- 202
- End Page
- 209
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40227
- DOI
- 10.1007/11558484_26
- ISSN
- 0302-9743
1611-3349
- Abstract
- This paper proposes a novel digital auto-focusing algorithm using image fusion, which restores an out-of-focus image with multiple, differently out-of-focus objects. The proposed auto-focusing algorithm consists of (i) building a prior set of point spread functions (PSFs), (ii) image restoration, and (iii) fusion of the restored images. Instead of designing an image restoration filter for multi-object auto-focusing, we propose an image fusion-based auto-focusing algorithm by fusing multiple, restored images based on prior estimated set of PSFs. The prior estimated PSFs overcome heavy computational overhead and make the algorithm suitable for real-time applications. By utilizing both redundant and complementary information provided by different images, the proposed fusion algorithm can restore images with multiple, out-of-focus objects. Experimental results show the performance of the proposed auto-focusing algorithm.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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