Fast Removal of Non-uniform Camera Shake

Camera shake leads to non-uniform image blurs. Stateof-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.

• Type: Journal
• Year: 2011
• Where: ICCV
• Authors: Michael Hirsch, Christian Schuler, Stefan Harmeling, Bernhard Schölkopf
• Keywords: Blur Removal, Blurry Images, Computer Vision, Forward Model, ICCV 2011