On the Recovery of Depth from a Single Defocused Image

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On the Recovery of Depth from a Single Defocused Image
Abstract. 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. Key words: Image processing, depth recovery, defocus blur, Gaussian gradient, markov random field.
Shaojie Zhuo, Terence Sim
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where CAIP
Authors Shaojie Zhuo, Terence Sim
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