In this paper we propose a high-S/N imaging method involving combining many images captured with small blur using a video camera capable of high-frame-rate image capturing at 1000 frames/s. Use of a high-frame-rate camera makes the image change between frames small, enabling easy motion estimation, and makes it possible to use more light information, even when the exposure time is reduced to avoid blurring. To obtain a clear picture without misalignment due to motion parallax, it is necessary to determine both the motion and a depth map of the subject from noisy input images. We show results when applying the proposed algorithm to an image sequence captured by a high-frame-rate camera.