This paper describes a motion blur technique which can be applied to rendering fluid simulations that are carried out in the Eulerian framework. Existing motion blur techniques can be applied to rigid bodies, deformable solids, clothes, and several other kinds of objects, and produce satisfactory

phenomena. A single algorithmic model is proposed which explains these four visual illusions. In fact, this model predicts phenomena produced by motion of any gray shaded patterns relative to the eyes (termed "Motion Blur Illusions"). Results of a computer simulation of the model

This report discusses methods for estimating linear motion blur. The blurred image is modeled as a convolution between the original image and an unknown point-spread function. The angle of motion blur is estimated using three different approaches. The first employs the cepstrum, the second a

The removal of motion blur induced into images is currently an active eld of research. The analysis of motion de-blur algorithms has shown, that they perform di erently on synthetic and real motion blur. Therefore we have build an apperatus which allows us to produce pictures with de ned motion

. In this work we develop a robust framework to demosaick the color filter array (CFA) image while reducing the blur corrupting the image. We begin by defining a color motion blur model that describes the motion blur artifacts affecting color images. We then integrate the motion blur model in the demosaicking

, segmented, deblurred, and composed onto the background using the varying exposure video. Novel renderings, such as motion streaks, can be generated by linear combination of the deblurred image and the captured photos. We show that motion blur in successive video frames is invertible even if the point

In this paper, we present several algorithms developed for restoration of motion blurred images. We begin with a singleimage based deblurring approach in the case of linear constant motion. This approach is a wavelet-based method with anovellp-norm regularization term. Due to the introduction

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Motion blurring fast-moving objects is highly desirable for virtual environments and 3D user interfaces. However, all currently known algorithms to generate motion blur are too slow for inclusion in interactive 3D applications. We introduce a new motion blur algorithm that works in 3D on a per

We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly account for the effects of motion blur. Such coupling is usually appropriate, but computationally wasteful when visual