Coded exposure photography: motion deblurring using fluttered shutter

By Ramesh Raskar, Amit K. Agrawal, Jack Tumblin. ACM Transactions on Graphics, 2006

610 citations recorded by the source corpus.

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Blind motion deblurring from a single image using sparse approximation (2009, methodology): “If the blur kernel is given as a prior, recovering clear image is called a non-blind deconvolution problem; otherwise called a blind deconvolution problem.”
Single Image Deblurring Using Motion Density Functions (2010, background): “In most recent work, image blur is modeled as the convolution of an unobserved latent image with a single, spatially invariant blur kernel [1,2,3,4,5,6,7,8,9,10,11].”
Single Image Motion Deblurring Using Transparency (2007, background): “Image blur is caused either by the camera motion [1 ]o r by the object motion [ 20 ].”
Fast removal of non-uniform camera shake (2011, background): “[17] encodes the movement of objects by “fluttering” the shutter.”
Image deblurring with blurred/noisy image pairs (2007, methodology): “Our techniques can also be applied in a hybrid image system [Ben-Ezra and Nayar 2003] or combined with coded exposure photography [Raskar et al. 2006].”
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path (2011, positive): “Fergus et al. [11] demonstrated how to use a variational Bayesian approach combined with gradient-domain statistics to estimate a more accurate PSF. Raskar et al. [21], [1] coded the exposure to make the PSF more suitable for deconvolution.”