Scene-Adaptive Image Acquisition for Focus Stacking

Focus stacking is a promising technique to extend depth of field in general photography by fusing images captured at different focusing distances. In this paper, we propose a round-trip scene-adaptive image acquisition system to automatically capture focal stack and fuse a high quality all-in-focus image. Based on scene analysis, we cover entire depth range of the scene in the forward optical scanning and refine all objects' focusing positions accurately in the backward scanning. With captured images, we firstly extract depthmap and all-in-focus image with combination of max-gradient flow and blur kernel estimation. Secondly, a superpixel-level Gaussian Fitting is proposed to determine the next location to capture. Experiments on simulated data show that our method attain high quality all-in-focus image with fewer captured images.