SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Two motion-blurred images are better than one
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
ACM SIGGRAPH 2005 Papers
Coded exposure photography: motion deblurring using fluttered shutter
ACM SIGGRAPH 2006 Papers
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2008 papers
Flexible Depth of Field Photography
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Invertible motion blur in video
ACM SIGGRAPH 2009 papers
4D frequency analysis of computational cameras for depth of field extension
ACM SIGGRAPH 2009 papers
Image deblurring using inertial measurement sensors
ACM SIGGRAPH 2010 papers
Diffusion coded photography for extended depth of field
ACM SIGGRAPH 2010 papers
Analysis of motion blur with a flutter shutter camera for non-linear motion
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Reconstructing arbitrarily focused images from two differently focused images using linear filters
IEEE Transactions on Image Processing
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Recently, several camera designs have been proposed for either making defocus blur invariant to scene depth or making motion blur invariant to object motion. The benefit of such invariant capture is that no depth or motion estimation is required to remove the resultant spatially uniform blur. So far, the techniques have been studied separately for defocus and motion blur, and object motion has been assumed 1D (e.g., horizontal). This article explores a more general capture method that makes both defocus blur and motion blur nearly invariant to scene depth and in-plane 2D object motion. We formulate the problem as capturing a time-varying light field through a time-varying light field modulator at the lens aperture, and perform 5D (4D light field + 1D time) analysis of all the existing computational cameras for defocus/motion-only deblurring and their hybrids. This leads to a surprising conclusion that focus sweep, previously known as a depth-invariant capture method that moves the plane of focus through a range of scene depth during exposure, is near-optimal both in terms of depth and 2D motion invariance and in terms of high-frequency preservation for certain combinations of depth and motion ranges. Using our prototype camera, we demonstrate joint defocus and motion deblurring for moving scenes with depth variation.