Heterogeneous face recognition (HFR) refers to matching face imagery across different
domains. It has received much interest from the research community as a result of its …

In this paper, we address the problem of estimating and removing non-uniform motion blur
from a single blurry image. We propose a deep learning approach to predicting the …

In various learning-based image restoration tasks, such as image denoising and image
super-resolution, the degradation representations were widely used to model the …

This paper presents a fast deblurring method that produces a deblurring result from a single
image of moderate size in a few seconds. We accelerate both latent image estimation and …

In blind deconvolution one aims to estimate from an input blurred image ya sharp image x
and an unknown blur kernel k. Recent research shows that a key to success is to consider …

Photographs taken in low-light conditions are often blurry as a result of camera shake, ie a
motion of the camera while its shutter is open. Most existing deblurring methods model the …

This paper presents a fast algorithm for restoring video sequences. The proposed algorithm,
as opposed to existing methods, does not consider video restoration as a sequence of …

This paper introduces a method to encode the blur operators of an arbitrary dataset of sharp-
blur image pairs into a blur kernel space. Assuming the encoded kernel space is close …

Image blur is caused by a number of factors such as motion, defocus, capturing light over the
non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a camera …

Camera shake leads to non-uniform image blurs. State-of-the-art methods for removing
camera shake model the blur as a linear combination of homographically transformed …