Blind image deblurring via hybrid deep priors modeling
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.004
Abstract: Abstract Blind image deblurring is a challenging low-level vision problem which aims to restore a sharp image only from the blurry observation. Few known information makes this problem fundamentally ill-posed. Most recent works focus on… read more here.
Keywords: hybrid deep; image; deep priors; latent image ... See more keywords
Joint image deblurring and super-resolution with attention dual supervised network
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.069
Abstract: Abstract Image deblurring and super-resolution (SR) are computer vision tasks aiming to restore image detail and spatial scale, respectively. Despite significant research effort over the past years, it remains challenging for joint image deblurring and… read more here.
Keywords: joint image; resolution; image; network ... See more keywords
A lightweight adaptive image deblurring framework using dynamic convolutional neural networks
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-18993-w
Abstract: Image deblurring remains a fundamental challenge in computer vision, particularly for Lightweight models facing Limited input adaptability and inadequate global context modeling. This paper proposes a Lightweight adaptive image deblurring framework based on dynamic convolutional… read more here.
Keywords: image; adaptive image; lightweight adaptive; deblurring framework ... See more keywords
An ℓ1−ℓ0 adaptive detection approach for image deblurring with impulse noise
Sign Up to like & getrecommendations! Published in 2025 at "Inverse Problems"
DOI: 10.1088/1361-6420/ae131f
Abstract: We consider image deblurring problems in the presence of impulse noise. The key to successful image restoration is the accurate identification of impulse noise locations. Using the maximum a posteriori probability estimation, we first derive… read more here.
Keywords: impulse noise; image; image deblurring; deblurring impulse ... See more keywords
An Efficient Sparse Optimization Algorithm for Weighted $\ell _{0}$ Shearlet-Based Method for Image Deblurring
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2670611
Abstract: Sparsity is one of the key concepts that allows the signal recovery at a significantly lower subsample rate than required by the Nyquist-Shannon sampling theorem. By using a multistate transform, such as wavelets and shearlets… read more here.
Keywords: efficient sparse; image deblurring; optimization algorithm;
A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov’s Rule
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2873628
Abstract: Image deblurring problem is a tough work for improving the quality of images, in this paper; we develop an efficient and fast thresholding algorithm to handle such problem. We observe that the improved fast iterative… read more here.
Keywords: nesterov rule; thresholding algorithm; image deblurring; proposed algorithm ... See more keywords
SID: Sensor-Assisted Image Deblurring System for Mobile Devices
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937137
Abstract: Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera’s stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the… read more here.
Keywords: sensor assisted; sid sensor; assisted image; image deblurring ... See more keywords
Blind Image Deblurring via Local Maximum Difference Prior
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3039281
Abstract: Blind image deblurring is a well-known conundrum in the digital image processing field. To get a solid and pleasing deblurred result, reasonable statistical prior of the true image and the blur kernel is required. In… read more here.
Keywords: image deblurring; image; maximum difference; local maximum ... See more keywords
RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194032
Abstract: Image deblurring is a challenging field in computational photography and computer vision. In the deep learning era, deblurring methods boosted with neural networks achieve significant results. However, the existing methods mainly focus on solving specific… read more here.
Keywords: blur; network; image deblurring; raid net ... See more keywords
EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203736
Abstract: In this paper, we present an end-to-end unsupervised domain adaptation approach to image deblurring. This work focuses on learning and generalizing the complex latent space of the source domain and transferring the extracted information to… read more here.
Keywords: domain adaptation; image deblurring; adaptation approach; domain ... See more keywords
Guided Image Deblurring by Deep Multi-Modal Image Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3229056
Abstract: Estimating sharp images from blurry observations is still a difficult task in the image processing research field. Previous works may produce deblurred images that lose details or contain artifacts. To deal with this problem, a… read more here.
Keywords: fusion; image deblurring; multi modal; guided image ... See more keywords