Results 101 to 110 of about 9,140,641 (221)
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
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, 2009 Recovering a sharp version of an input blurred image is challenging in computational photography and digital image processing. Recent progresses have been made in algorithms to address the ill-posedness of the problem.
Yuan, Lu
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Study on image enhancing and deblurring
, 2016 碩士隨著時代的演進，數位設備的取得已相當普遍，影像的應用也有廣泛被應用的趨勢，影像的品質很可能因為環境或設備的不良因素而受到影響，因而有許多改善影像品質的方法與技術被提出，如影像強化、影像去模糊、影像去雜訊、影像超解析等。其中影像強化主要是解決影像取像時因強光、光線不足或拍攝方式不當等不良因素造成影像過亮、過暗、或雜訊產生等問題。A. Gorai and A.
莊驊;Chuang, Hua
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Image Deblurring in Demanding Conditions
, 2020 Title: Image Deblurring in Demanding Conditions Author: Jan Kotera Department: Institute of Information Theory and Automation, Czech Academy of Sciences Supervisor: Doc. Ing.
Kotera, Jan
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Spectral Norm Regularization for Blind Image Deblurring
, 2021 Blind image deblurring is a well-known ill-posed inverse problem in the computer vision field. To make the problem well-posed, this paper puts forward a plain but effective regularization method, namely spectral norm regularization (SN), which can be ...
Zhiyong Xu, Shuhan Sun, Jianlin Zhang
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Image deblurring based on fractional-order total variation and diffusion models
四川大学学报. 自然科学版Image deblurring is a significant area of study in the field of digital image processing.In various practical applications，due to relative motion between imaging devices and objects，the resulting blurring will degrade the image quality and visual effect ...
HUANG Hao, PU Yi-Fei
doaj
Blind UAV Images Deblurring Based on Discriminative Networks
Sensors, 2018 Unmanned aerial vehicles (UAVs) have become an important technology for acquiring high-resolution remote sensing images. Because most space optical imaging systems of UAVs work in environments affected by vibrations, the optical axis motion and image ...
Ruihua Wang +4 more
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Patch-Wise Blind Image Deblurring Via Michelson Channel Prior
IEEE Access, 2019 Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen +4 more
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A Novel Fractional-Order Non-Convex TVα,p Model in Image Deblurring
Fractal and FractionalIn this paper, we propose a non-convex model with fractional-order applied to image deblurring problems. In the new model, fractional-order gradients have been introduced to preserve detailed features, and a source term with a blurry kernel is used for ...
Bao Chen, Xiaohua Ding, Yuchao Tang
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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
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