Blur Edge Time has been shown to be a reasonable metric for characterisation of motion blur of LCD displays. It can be estimated by taking the 10% to 90% level of the Moving Edge Temporal Profile or by using the standard deviation of a fitted cumulative Gaussian function. In this paper we will compare these two ways of estimating the Blur Edge Time. Ultimately the usefulness of these metrics of...

Little is known about the systematic impact of blur on reading performance. The purpose of this study was to quantify the effect of dioptric blur on reading performance in a group of normally sighted young adults. We measured monocular reading performance and visual acuity for 19 observers with normal vision, for five levels of optical blur (no-blur, 0.5, 1, 2, and 3D). Dioptric blur was induce...

While current systems already provide reliable results in correctly reading barcodes at close range, we want to increase the limits of these systems so they will be able to read these codes with extreme levels of blur and noise. Building off of the work by Christine Lew and Dheyani Malde[2], we propose a method to analyze a subsection of a barcode with an unknown signal and blurring function in...

We present a novel technique for enhancing an image captured in low light by using near-infrared flash images. The main idea is to combine a color image with near-infrared flash images captured at the same time without causing any interference with the color image. In this work, near-infrared flash images are effectively used for removing annoying effects that are commonly observed in images of...

Image Restoration is the method of recovering original image from degraded image and also to understand the image without any artifact errors. Image restoration methods can be considered as direct and indirect techniques. Direct techniques are used when restoration results are generated in a simple one step fashion. Similarly, indirect techniques are used when restoration results are obtained a...

Motion blur, which increases the difficulty of locating and identifying target objects, has always been an ill-posed issue of space-based imaging system. In our paper, we point out the issue of deblurring degraded images caused by relative motion between space-based imaging system and observation targets. Such as motion of target objects to be observed or tremors of space-based imaging system. ...

This thesis addresses total variation (TV) image restoration and blind image deconvolution. Classical image processing problems, such as deblurring, call for some kind of regularization. Total variation is among the state-of-the-art regularizers, as it provides a good balance between the ability to describe piecewise smooth images and the complexity of the resulting algorithms. In this thesis, ...

The original solution of the blur and blur parameters identification problem is presented in this paper. A neural network based on multi-valued neurons is used for the blur and blur parameters identification. It is shown that using simple single-layered neural network it is possible to identify the type of the distorting operator. Four types of blur are considered: defocus, rectangular, motion ...

Blind deconvolution is the problem of recovering a sharp image and a blur kernel from a noisy blurry image. Recently, there has been a significant effort on understanding the basic mechanisms to solve blind deconvolution. While this effort resulted in the deployment of effective algorithms, the theoretical findings generated contrasting views on why these approaches worked. On the one hand, one...

We extend a neural network model, developed to examine neural correlates for the dynamic synthesis of edges from luminance gradients (Oğmen, 1993), to account for the effects of exposure duration, base blur and contrast on the perceived sharpness of edges. This model of REtino-COrtical Dynamics (RECOD) predicts that (i) a decrease in exposure duration causes an increase in the perceived blur an...