Training learning-based deblurring methods demands a tre-mendous amount of blurred and sharp image pairs. Unfortunately, existing synthetic datasets are not realistic enough, models trained on them cannot handle real images effectively. While have recently been proposed, they provide limited diversity scenes camera settings, capturing for diverse settings is still challenging. To resolve this, ...

An algorithm is presented for image blur detection with the 2D Haar Wavelet transform (2D HWT). The algorithm classifies an image as blurred or sharp by splitting it into N x N tiles, applying several iterations of the 2D HWT to each tile, and grouping horizontally, vertically, and diagonally connected tiles with pronounced changes into tile clusters. Images with large tile clusters are classif...

In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel approach to estimate the amount of spatially varying defocus blur at edge locations. We re-blur the input image and show that the gradient magnitude ratio between the input and re-blurred images depends only on the amount of defocus...

In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a region that contains a corner. Corners are significant both for scene and motion understanding since they permit a univocal interpretation of motion parameters. Motion parameters are estimated locally in image regions, wi...

The coalesced presence of motion blur and rolling shutter effect is unavoidable due to the sequential exposure of sensor rows in CMOS cameras. We address the problem of detecting changes in an image affected by motion blur and rolling shutter artifacts with respect to a reference image. Our framework bundles modelling of motion blur in global shutter and rolling shutter cameras into a single en...

Natural images appear blurred when imperfect lens focus reduces contrast energy at higher spatial frequencies. Here, we present evidence that perceived blur also depends on asymmetries between On (positive contrast polarities) and Off (negative contrast polarities) image signals. Psychophysical matching experiments involving natural and artificial stimuli suggest that attenuating Off signals at...

Motion blur is an important visual cue for the illusion of object motion. It has many applications in computer animation, virtual reality and augmented reality. In this work, we present a nonlinear imaging model for synthetic motion blur generation. It is shown that the intensity response of the image sensor is determined by the optical parameters of the camera and can be derived by a simple ph...