A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth Measurement by the Multi-Focus Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Flexible Depth of Field Photography
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
4D frequency analysis of computational cameras for depth of field extension
ACM SIGGRAPH 2009 papers
Programmable aperture camera using LCoS
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Flexible Depth of Field Photography
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Depth from defocus (DFD) is a technique to recover the scene depth from defocusing in images. DFD usually involves two differently focused images (near-focused and far-focused) and calculates the size of the depth blur in the captured images. In recent years, the coded aperture technique, which uses a special pattern for the aperture to engineer the point spread function (PSF), has been used to improve the accuracy of DFD estimation. However, coded aperture sacrifices an incident light and loses a SNR of captured images which is needed for the accurate estimation. In this paper, we propose a new computational imaging, called half-sweep imaging. Half-sweep imaging engineers PSFs for improving DFD and maintaining the SNR of captured images. We confirmed the advantage of the imaging in comparison with conventional DFD and coded aperture in experiments.