AN EDGE-DETECTION APPROACH TO DIGITAL IMAGE STABILIZATION BASED ON TRISTATE ADAPTIVE LINEAR NEURONS

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.