Precise local blur estimation based on the first-order derivative

Henri Bouma; Judith Dijk; Adam W. M. van Eekeren

doi:10.1117/12.918600

4 May 2012 Precise local blur estimation based on the first-order derivative

Henri Bouma, Judith Dijk, Adam W. M. van Eekeren

Proceedings Volume 8399, Visual Information Processing XXI; 839904 (2012) https://doi.org/10.1117/12.918600
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Blur estimation is an important technique for super resolution, image restoration, turbulence mitigation, deblurring and autofocus. Low-cost methods have been proposed for blur estimation. However, they can have large stochastic errors when computed close to the edge location and biased estimates at other locations. In this paper, we define an efficient, accurate and precise estimate that can be computed at the edge location based on the first-order derivative. Our method is compared and benchmarked against previous state-of-the-art. The results show that the proposed method is fast, unbiased and with low stochastic error.

Citation Download Citation

Henri Bouma, Judith Dijk, and Adam W. M. van Eekeren "Precise local blur estimation based on the first-order derivative", Proc. SPIE 8399, Visual Information Processing XXI, 839904 (4 May 2012); https://doi.org/10.1117/12.918600

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