PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Fast removal of non-uniform camera shake
Michael Hirsch, Christian Schuler, Stefan Harmeling and Bernhard Schölkopf
In: ICCV 2011(2011).

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 trans- formed versions of the true image. While this is conceptu- ally interesting, the resulting algorithms are computation- ally 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 effi- cient algorithm for blur removal can be obtained. Compre- hensive comparisons on a number of real-world blurry im- ages show that our approach is not only substantially faster, but it also leads to better deblurring results.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:9310
Deposited By:Stefan Harmeling
Deposited On:16 March 2012