An edge detection approach to digital image stabilization based on tri-state adaptive linear neurons
- Authors
- Paik, Joonki; PARK, YC; PARK, SW
- Issue Date
- Aug-1991
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.37, no.3, pp 521 - 530
- Pages
- 10
- Journal Title
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Volume
- 37
- Number
- 3
- Start Page
- 521
- End Page
- 530
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40266
- DOI
- 10.1109/30.85562
- ISSN
- 0098-3063
1558-4127
- Abstract
- A new approach to digital image stabilization (DIS) for video cameras is proposed. The proposed DIS system is composed of an edge detection unit, a motion detection unit, and a digital zooming unit. The edge detection unit is based on tri-state adaptive linear neurons (ADALINES) [1], the motion detection unit is based on the corresponding binary logical correlation computations instead of multiple-bit pixel-wise substractions, and the digital zooming unit is based on the approximately bilinear interpolation (ABI) technique. A motion decision procedure is also proposed for removing unwanted effects on the integrated motion vector. The proposed DIS system is designed manily for the hardware minimization without using additional Micoms in a video camera system. Experimental results show that the proposed system accurately detects and compensates camera motion.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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