In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual significance is validated through subjective experiments. The novel metric is near real-time, has low computational complexity and is shown to perform well over a range of image content. Potential applications include optimiza...

After discussing usual approaches to measuring blur, we show theoretically that there is essentially a unique way to quantify blur by a single number. It is the variance of position and therefore is given by the second derivative at the origin of the Fourier transform. This somewhat surprisingly implies that blur should be especially sensitive to attenuation of the low frequencies. This is conf...

Images degraded by motion blur can be restored when several blurred images are given, and the direction of motion blur in each image is different. Given two motion blurred images, best restoration is obtained when the directions of motion blur in the two images are orthogonal. Motion blur at different directions is common, for example, in the case of small hand-held digital cameras due to fast ...

The deblurring of images corrupted by radial blur is studied. This type of blur appears in images acquired during any camera translation having a substantial component orthogonal to the image plane. The point spread functions (PSF) describing this blur are spatially varying. However, this blurring process does not mix together pixels lying on different radial lines, i.e. lines stemming from a u...

Motion blur arises when the object motion is fast relative to the shutter time of the camera. In this work, we p ropose a method to estimate the speed of moving vehicles from sing le still images based on motion blur analy sis for the p urpose of traffi c law enforcement. T he blur parameters are estimated from a sing le motion blurred image and then used to calculate the speed of the moving ve...