Image deblurring with blurred/noisy image pairs

By Lu Yuan, Jian Sun, Long Quan, Harry Shum. ACM Transactions on Graphics, 2007

414 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Non-rigid dense correspondence with applications for image enhancement (2011, background): “[Yuan et al. 2007] deblurred blurry images using noisy (aligned) examples.”
A no-reference metric for evaluating the quality of motion deblurring (2013, methodology): “They are mainly caused by inaccurate PSF estimation, but even with an accurate PSF, they can still appear due to the Gibbs phenomenon [Yuan et al. 2007].”
Single image dehazing (2008, methodology): “Given two images, one noisy and the other blurry, a deblurring method with a reduced amount of ringing artifacts is described in [Yuan et al. 2007].”
Image deblurring using inertial measurement sensors (2010, background): “Early work in this area significantly constrained the form of the kernel, while more recently, researchers have put constraints on the underlying sharp image [Bascle et al. 1996; Fergus et al. 2006; Yuan et al. 2007; Joshi et al. 2008].”
Fast removal of non-uniform camera shake (2011, background): “[26] reconstruct a single sharp image from a pair of blurred and noisy images.”