Results 181 to 190 of about 4,369 (201)
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Blind motion deblurring using multiple images
Journal of Computational Physics, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian-Feng Cai 0001 +3 more
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Spectral Non-gaussianity for Blind Image Deblurring
2011A blind image deblurring method based on a new nongaussianity measure and independent component analysis is presented. The scheme assumes independency among source signals (image and filter function) in the frequency domain. According to the Central Limit Theorem the blurred image becomes more Gaussian.
Aftab Khan, Hujun Yin
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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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Deep Idempotent Network for Efficient Single Image Blind Deblurring
IEEE Transactions on Circuits and Systems for Video Technology, 2023Zhexiong Wan, Yuchao Dai, Xin Yu
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Effective Blind Image Deblurring Using Matrix-Variable Optimization
IEEE Transactions on Image Processing, 2021Liqing Huang +2 more
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Blind image deblurring based on the sparsity of patch minimum information
Pattern Recognition, 2021Po-Wen Hsieh
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Blind Image Deblurring via Superpixel Segmentation Prior
IEEE Transactions on Circuits and Systems for Video Technology, 2022Bing Luo +2 more
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A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring
IEEE Transactions on Circuits and Systems for Video Technology, 2021Fei Wen, Rendong Ying, Yipeng Liu
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Blind natural image deblurring with edge preservation based on L0-regularized gradient prior
Optik, 2021Yaozong Zhang
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Revisiting the Regularizers in Blind Image Deblurring With a New One
IEEE Transactions on Image Processing, 2023Wen-Ze Shao
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