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.
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