Results 191 to 200 of about 293,019 (211)
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Blind Image Deblurring Using Adaptive Priors
2018For blind image deblurring, a good prior knowledge can guide the maximum a posterior (MAP) based algorithms to be away from the trivial solution. Therefore, many existing methods focus on designing effective priors to constrain the solution space. However, blind deconvolution with fixed priors is not robust.
Bingwang Zhang +5 more
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Blind image deblurring with reinforced use of edges
The Visual Computer, 2019Blind image deblurring tries to restore a blurred image to a clear image without the blurring kernel known in advance, which is widely required in applications such as computer vision and medical image processing. With regard to this, the key issues here are to accurately estimate the blurring kernel for deconvolution of a blurred image, and avoid the ...
Qiu Feng +2 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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Blind Image Deblurring Based on Dictionary Replacing
2012Traditional image deblurring is based on deconvolution, an ill-posed problem, which is sensitive to the accuracy of the blur kernel. In this paper, we propose a blind image deblurring method based on dictionary replacing. First, we estimate the blur kernel from the blur image , and then based on the sparse representation of the image patch under over ...
Haisen Li +3 more
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Blind Deblurring Using Discriminative Image Smoothing
2018This paper aims to exploit the full potential of gradient-based methods, attempting to explore a simple, robust yet discriminative image prior for blind deblurring. The specific contributions are three-fold: Above all, a pure gradient-based heavy-tailed model is proposed as a generalized integration of the normalized sparsity and the relative total ...
Wenze Shao +5 more
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Deep Idempotent Network for Efficient Single Image Blind Deblurring
IEEE Transactions on Circuits and Systems for Video Technology, 2023Xin Yu, Yuchao Dai, Zhexiong Wan
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Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior
Remote Sensing, 2022Liangliang Zheng, Ziyu Zhang, Tan Gao
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Blind Remote Sensing Image Deblurring Based on Overlapped Patches’ Non-Linear Prior
Sensors, 2022Ziyu Zhang, Tan Gao, Xiaobin Wu
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Revisiting the Regularizers in Blind Image Deblurring With a New One
IEEE Transactions on Image Processing, 2023Wenze Shao
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Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures
IEEE Transactions on Image Processing, 2013Mario A T Figueiredo +1 more
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