As opposed to the global shutter, which starts and stops the light integration of each pixel at the same time by
incorporating a sample-and-hold switch with analog storage in each pixel, the electronic rolling shutter found in most
low-end CMOS image sensors today collects the image data row by row, analogous to an open slit that scans over the
image sequentially. Each row integrates the light when the slit passes over it. Therefore, the scanlines of the image
are not exposed at the same time. This sensor architecture creates an objectionable geometric distortion, known as the
rolling shutter effect, for moving objects. In this paper, we address this problem by using digital image processing
techniques. A mathematical model of the rolling shutter is developed. The relative image motion between the moving
objects and the camera is determined by block-based motion estimation. A Bezier curve fitting is applied to smooth the
resulting motion data , which are then used for the alignment of scanlines. The basic ideas behind the algorithm
presented here can be generalized to deal with other complicated cases.
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