An edge detection approach to digital image stabilization based on tri-state adaptive linear neurons

A novel 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 tristate adaptive linear neurons, the motion detection unit is based on the corresponding binary logical correlation computations instead of multiple-bit pixel-wise subtractions, and the digital zooming unit is based on the approximated bilinear interpolation technique. A motion decision procedure is also proposed for removing unwanted effects on the integrated motion vector. The proposed DIS system is designed mainly for hardware minimization without using additional Micoms in a video camera system. Experimental results show that the proposed system accurately detects and compensates for camera motion.<
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