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Fast removal of non-uniform camera shake

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Hirsch,  M
Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schuler,  CJ
Max Planck Institute for Intelligent Systems, Max Planck Society;

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Harmeling,  S
Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  B
Max Planck Institute for Intelligent Systems, Max Planck Society;

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引用

Hirsch, M., Schuler, C., Harmeling, S., & Schölkopf, B. (2011). Fast removal of non-uniform camera shake. In 13th IEEE International Conference on Computer Vision (ICCV 2011) (pp. 463-470). Piscataway, NJ, USA: IEEE.


引用: https://hdl.handle.net/11858/00-001M-0000-0013-B91E-9
要旨
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.