NPAR '12 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering
Depth recovery from a single defocused image based on depth locally consistency
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel approach to estimate the amount of spatially varying defocus blur at edge locations. We re-blur the input image and show that the gradient magnitude ratio between the input and re-blurred images depends only on the amount of defocus blur. Thus, the blur amount can be obtained from the ratio. A layered depth map is then extracted by propagating the blur amount at edge locations to the entire image. Experimental results on synthetic and real images demonstrate the effectiveness of our method in providing a reliable estimate of the depth of a scene.