Back
Fast removal of non-uniform camera shake
Camera shake leads to non-uniform image blurs. State-of-the-art methods for removing camera shake model the blur as a linear combination of homographically transformed versions of the true image. While this is conceptually interesting, the resulting algorithms are computationally demanding. In this paper we develop a forward model based on the efficient filter flow framework, incorporating the particularities of camera shake, and show how an efficient algorithm for blur removal can be obtained. Comprehensive comparisons on a number of real-world blurry images show that our approach is not only substantially faster, but it also leads to better deblurring results.
@inproceedings{HirschSHS2011, title = {Fast removal of non-uniform camera shake}, abstract = {Camera shake leads to non-uniform image blurs. State-of-the-art methods for removing camera shake model the blur as a linear combination of homographically transformed versions of the true image. While this is conceptually interesting, the resulting algorithms are computationally demanding. In this paper we develop a forward model based on the efficient filter flow framework, incorporating the particularities of camera shake, and show how an efficient algorithm for blur removal can be obtained. Comprehensive comparisons on a number of real-world blurry images show that our approach is not only substantially faster, but it also leads to better deblurring results.}, pages = {463-470 }, editors = {DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool}, publisher = {IEEE}, address = {Piscataway, NJ, USA}, month = nov, year = {2011}, slug = {hirschshs2011}, author = {Hirsch, M. and Schuler, CJ. and Harmeling, S. and Sch{\"o}lkopf, B.}, month_numeric = {11} }