Results 101 to 110 of about 14,030 (199)
Deep Mean-Shift Priors for Image Restoration
, 2017 In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise ...
Bigdeli, Siavash Arjomand +3 more
core
An Edge-Enhanced Branch for Multi-Frame Motion Deblurring
IEEE AccessNon-uniform deblurring is one of the most important image restoration tasks for providing appropriate information for subsequent applications that require image recognition.
Sota Moriyama, Koichi Ichige
doaj +1 more source
An Efficient Image Deblurring Network with a Hybrid Architecture. [PDF]
Sensors (Basel), 2023 Chen M, Yi S, Lan Z, Duan Z.
europepmc +1 more source
Distributed Deblurring of Large Images of Wide Field-Of-View
, 2017 Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applications, e.g., astronomy, microscopy or computational photography.
Bianchi, Pascal +4 more
core
Tikrit Journal of Engineering Sciences, 2014 In image deblurring, we try to recover the original, sharp image by using a mathematical model of the blurring process. There are several techniques to recover the original image, but they could not recover the image exactly.
Shayma Wail Nourildean Mohammed Ismaeel Khalil
doaj
On the preconditioning of the primal form of TFOV-based image deblurring model. [PDF]
Sci Rep, 2023 Kim J, Ahmad S.
europepmc +1 more source
SAM-DEBLUR: Let Segment Anything Boost Image Deblurring
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts. However, the challenge of addressing non-uniform blurring leads to an ill-posed problem, which limits the generalization performance of existing deblurring models.
Siwei Li +6 more
openaire +2 more sources
An image deblurring method using improved U-Net model based on multilayer fusion and attention mechanism. [PDF]
Sci Rep, 2023 Lian Z, Wang H.
europepmc +1 more source
Noise-Adaptive Non-Blind Image Deblurring. [PDF]
Sensors (Basel), 2022 Slutsky M.
europepmc +1 more source
Collaborative Blind Image Deblurring
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Blurry images usually exhibit similar blur at various locations across the image domain, a property barely captured in nowadays blind deblurring neural networks. We show that when extracting patches of similar underlying blur is possible, jointly processing the stack of patches yields superior accuracy than handling them separately.
Eboli, Thomas +2 more
openaire +2 more sources