Taking a satisfactory image using a hand-held camera under dim lighting conditions is difficult because there is a
tradeoff between exposure time and motion blur. If the image is taken with a short exposure time, the image is noisy,
although it preserves sharp details. On the other hand, an image taken with a long exposure time suffers from motion blur
but has good intensity. In this paper, we propose a two-image approach that adaptively combines a short-exposure image
and a long-exposure image for the image stabilization function on digital cameras. Our method combines only the
desirable properties of the two images to obtain a less-blurry and less-noisy image. Furthermore, the proposed approach
uses a dual edge-preserving filtering technique for the edge areas of the long-exposure image, which are more affected
by motion blur.
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