Results 41 to 50 of about 441,411 (171)
Computation, 2021 The aim of the present paper is to improve an existing blind image deblurring algorithm, based on an independent component learning paradigm, by manifold calculus.
Simone Fiori
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An Efficient Blind Image Deblurring Algorithm
, 2010 This paper presents a novel algorithm which concerns with the fast implement of blind image deblurring with a well-reconstructed original image. Firstly, we model both the original image and the blur utilizing the harmonic model in the Sobolev image ...
Su Xiao +3 more
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Blind Image Deblurring via Local Maximum Difference Prior
IEEE Access, 2020 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.
Jing Liu +4 more
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Blind and Non-Blind Deconvolution-Based Image Deblurring Techniques for Blurred and Noisy Image
Tikrit Journal of Engineering Sciences: Image deblurring is a common issue in low-level computer vision aiming to restore a clear image from a blurred input image. Deep learning innovations have significantly advanced the solution to this issue, and numerous deblurring networks have been ...
Shayma Wail Nourildean
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International Endodontic Journal, EarlyView.ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi +6 more
wiley +1 more source
Quasi-Robust Blind Deblurring with Multiple Color Images
, 2011 In this paper, we firstly introduce the limitation and deficiency of L1-norm and L2-norm in deblurring and denoising and the merit of quasi-robust function. Then, we propose a new blind deblurring model using multiple color images.
Rui Hua Liu, Li Yun Su, Fang Li
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A Two-Stage Network for Image Deblurring
IEEE Access, 2021 Blind deblurring is a typical challenge in image processing, carried out to correct various complex types of distortions that occur in the real world. Although learning-based deblurring methods have substantially outperformed the traditional algorithms ...
Ze Pan, Qunbo Lv, Zheng Tan
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Non-blind deblurring of structured images with geometric deformation
, 2015 Non-blind deconvolution, which is to restore a sharp version of a given blurred image when the blur kernel is known, is a fundamental step in image deblurring.
Zhang, Xin +7 more
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Adaptive blind image deblurring and denoising
Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 413-441, March 2026.Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang +2 more
wiley +1 more source
Application of blind deconvolution and Lucy-Richardson Deconvolution for image deblurring
, 2018 No AbstractKeywords: image deblurring; blind deconvolution; Lucy-Richardson deconvolution; Gaussian blur ...
Halim, S.A., Abang, M.Z., Ramli, M.S.
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