In this paper we provide a review of the recent literature on Bayesian Blind Image
Deconvolution (BID) methods. We believe that two events have marked the recent history of …

Event cameras are bio-inspired sensors that asynchronously report intensity changes in
microsecond resolution. DAVIS can capture high dynamics of a scene and simultaneously …

A motion deblurring algorithm is proposed to enhance the quality of restoration based on the
point spread function (PSF) identification in frequency spectrum. An improved blur angle …

In this paper, a fractional order variational model for estimating the optical flow is presented.
In particular, the proposed model generalizes the integer order variational optical flow …

Image restoration is a fundamental problem in the field of image processing. The key
objective of image restoration is to recover clean images from images degraded by noise …

In recent years, the image processing technology has been used in various fields, such as
the detection and monitoring and so on. Because the exposure time of camera is not …

Camera shake during the exposure time often leads to spatially varying blurring effect on
images. Existing work usually uses patch based methods that assume the blur in each patch …

Motion tracking of moving objects from a sequence of images is an active research area
devoted to the applications of video surveillance. The motion estimation is performed by …

One of the main objectives of blur parameters estimation is the restoration of blurred images.
A novel blur parameters estimation algorithm is presented in the present paper. For …

In this paper, a novel Bayesian image restoration method based on a combination of priors
is presented. It is well known that the Total Variation (TV) image prior preserves edge …