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Definition
Blur estimation is a process to estimate the point spread function (a.k.a. blur kernel) from an image which suffered from either the motion blur or the defocus blur effects.
Background
When taking a photo with long exposure time, or with wrong focal length, the captured image will look blurry. This is because during the exposure period, the lights captured for a pixel are mixed with the lights captured for the other pixels within a local neighborhood. Such effect is modeled by the point spread function which describes how the lights are mixed during the exposure period.
In motion blur, the point spread function describes the relative motions between the camera and the scene. In defocus blur, the point spread function is related to the distance of a scene point from the focal plane of the camera. Recovering the point spread function...
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References
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Tai, YW. (2014). Blur Estimation. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_509
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DOI: https://doi.org/10.1007/978-0-387-31439-6_509
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