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 …

This paper presents a novel approach for learning instance segmentation with image-level
class labels as supervision. Our approach generates pseudo instance segmentation labels of …

Non-blind deconvolution is a key component in image deblurring systems. Previous
deconvolution methods assume a linear blur model where the blurred image is generated by a …

Blind image deconvolution, ie, estimating a blur kernel k and a latent image x from an input
blurred image y, is a severely ill-posed problem. In this paper we introduce a new patch-…

Numerous learning-based approaches to single image deblurring for camera and object
motion blurs have recently been proposed. To generalize such approaches to real-world blurs, …

We propose a method for removing non-uniform motion blur from multiple blurry images.
Traditional methods focus on estimating a single motion blur kernel for the entire image. In …

Videos captured by hand-held Cameras often contain significant camera shake, causing
many frames to be blurry. Restoring shaky videos not only requires smoothing the camera …

The blockchain is the distributed ledger technology, and the unchangeability is the main
feature. However, the scalability is hindered to satisfy the characteristic. Nowadays, there are …

In this paper, a novel relaying strategy that uses multiple-input multiple-output (MIMO) fixed
relays with linear processing to support multiuser transmission in cellular networks is …

Images taken in low-light conditions with handheld cameras are often blurry due to the
required long exposure time. Although significant progress has been made recently on image …