Results 161 to 170 of about 4,539 (201)
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Smoothing Priors for Blind Image Deblurring
SIAM Journal on Imaging ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haobo Xu, Fang Li
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Deblur-YOLO: Real-Time Object Detection with Efficient Blind Motion Deblurring
2021 International Joint Conference on Neural Networks (IJCNN), 2021Object detection has been a traditional yet open computer vision research field. In intensive studies, object detection models have achieved promising results regarding recognition accuracy and inference speed. However, previous state-of-the-art algorithms fail to operate at blurry images.
Shen Zheng +4 more
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Blind Deblurring and Deconvolution
Signal Recovery and Synthesis, 1995Many imaging systems in use today acquire data that are related to a desired object function f(·) through the linear relationship where h(·,·; θ) is the point-spread function for the imaging system, and θ is a collection of system parameters – some or all of which may be unknown – that characterize the system and, hence, its point-spread function.
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Blind deblurring using adaptive image model
2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2016The paper studies the blind deblurring algorithms using the proposed adaptive image model which is based on the random line field. Both algorithms are constructed following the Bayesian framework. The deblurring results of the proposed algorithm are compared with those of the deblurring algorithms in the literature.
Ngoc-Thuy Le, Ngoc-Minh Nguyen
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Sparse representation based blind image deblurring
2011 IEEE International Conference on Multimedia and Expo, 2011We propose a sparse representation based blind image deblurring method. The proposed method exploits the sparsity property of natural images, by assuming that the patches from the natural images can be sparsely represented by an over-complete dictionary.
null Haichao Zhang +3 more
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Quality measures for blind image deblurring
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings, 2012Blind image deblurring is limited by the unavailability or in many cases little information about the PSF. If the PSF is estimated, then deblurring simplifies to just deconvolving the blurred image with the PSF using any conventional deblurring filter. We have recently proposed a blind deblurring scheme using kurtosis measures.
Aftab Khan, Hujun Yin
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Blind Image Deblurring with Outlier Handling
2017 IEEE International Conference on Computer Vision (ICCV), 2017Deblurring images with outliers has attracted considerable attention recently. However, existing algorithms usually involve complex operations which increase the difficulty of blur kernel estimation. In this paper, we propose a simple yet effective blind image deblurring algorithm to handle blurred images with outliers. The proposed method is motivated
Jiangxin Dong +3 more
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Enhanced Sparse Model for Blind Deblurring
2020Existing arts have shown promising efforts to deal with the blind deblurring task. However, most of the recent works assume the additive noise involved in the blurring process to be simple-distributed (i.e. Gaussian or Laplacian), while the real-world case is proved to be much more complicated.
Liang Chen +4 more
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An Efficient Blind Image Deblurring Algorithm
Key Engineering Materials, 2010This 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 space, based on which, the prior distributions of them are obtained; Secondly, the Gamma distribution is
Su Xiao +3 more
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Non-uniform Blind Deblurring by Reblurring
2017 IEEE International Conference on Computer Vision (ICCV), 2017We present an approach for blind image deblurring, which handles non-uniform blurs. Our algorithm has two main components: (i) A new method for recovering the unknown blur-field directly from the blurry image, and (ii) A method for deblurring the image given the recovered non-uniform blur-field.
Yuval Bahat, Netalee Efrat, Michal Irani
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