This paper presents a new method to estimate the parameters of two types of blurs, linear
uniform motion (approximated by a line characterized by angle and length) and out-of-focus …

Researchers have been working on the blind deconvolution problem from as early as 1975
and various methods have been developed over the period. Earlier methods were purely …

This paper describes an approach to estimate the parameters of a motion blur (direction and
length) directly form the observed image. The motion blur estimate can then be used in a …

This paper presents an improved method to estimate the blur parameters of motion
deblurring algorithm for single image restoration based on the point spread function (PSF) in …

Motion blur is a common artifact in image processing, specifically in e‐health services, which
is caused by the motion of a camera or scene. In linear motion cases, the blur kernel, ie, the …

The issue of blur in images has kept researchers in the area of image processing busy for
over half a century, and the researchers at the Vision and Image Processing Laboratory, IIT …

As the unique identification of a vehicle, license plate is a key clue to uncover over-speed
vehicles or the ones involved in hit-and-run accidents. However, the snapshot of over-speed …

In this paper, an object blur detection and deblurring technique is proposed to restore multi-
directional motion blurred objects in a single image. We have proposed local blur angle …

In this paper, we propose low-cost blur detection and estimation method which can be
applied to improving image display on mobile phones. We detect the blurred image by …

The relative motion between remote sensing satellite sensor and objects is one of the most
common reasons for remote sensing image degradation. It seriously weakens image data …