Results 191 to 200 of about 9,413,043 (217)

Blind Image Deblurring Based on Local Rank

Mobile Networks and Applications, 2019
Conventional algorithms for blind image deblurring are often inaccurate at blur kernel estimation, and the recovery effect is far from perfect. To address this, we propose a single-image blind deblurring method based on local rank. For this, we first impose adaptive threshold segmentation on a conventional local rank transform, which is subsequently ...
Li Zhu 0003, Long Jin, Jihua Zhu, Zhongyu Li 0002, Zhiqiang Tian, Huimin Lu 0001   +5 more
openaire   +1 more source

Blind image deblurring with reinforced use of edges

The Visual Computer, 2019
Blind 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, Fei Hou 0001, Wencheng Wang 0001   +2 more
openaire   +1 more source

Spectral Non-gaussianity for Blind Image Deblurring

2011
A 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 Using Adaptive Priors

2018
For 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, Risheng Liu, Haojie Li, Qi Yuan, Xin Fan 0001, Zhongxuan Luo   +5 more
openaire   +2 more sources

Blind Deblurring Using Discriminative Image Smoothing

2018
This 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, Yunzhi Lin, Bingkun Bao, Liqian Wang, Qi Ge, Haibo Li 0001   +5 more
openaire   +1 more source

Blind image deblurring by promoting group sparsity

Neurocomputing, 2018
Abstract Blind image deblurring aims to recover the sharp image from a blurred observation, which is an ill-posed inverse problem. Proper image priors for the unknown variables (i.e. latent sharp image and blur kernel) are crucial. Abundant previous methods have shown the effectiveness of the sparsity-based priors on both image gradients and the blur
Dong Gong, Rui Li 0013, Yu Zhu 0004, Haisen Li, Jinqiu Sun, Yanning Zhang 0001   +5 more
openaire   +1 more source

Class-Adapted Blind Deblurring of Document Images

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
Deblurring of document images is an important problem, with several relevant applications, such as camera-based document acquisition and processing systems. Consequently, considerable attention has been given to this problem, namely in the blind image deblurring (BID) scenario, where the blurring filter is (partially or fully) unknown.
Marina Ljubenovic, Lina Zhuang, Mário A. T. Figueiredo   +2 more
openaire   +1 more source

Blind Image Deblurring Based on Dictionary Replacing

2012
Traditional 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, Yanning Zhang 0001, Feng Duan, Yu Zhu 0004   +3 more
openaire   +1 more source

Blind motion deblurring using multiple images

Journal of Computational Physics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian-Feng Cai 0001, Hui Ji 0002, Chaoqiang Liu, Zuowei Shen   +3 more
openaire   +3 more sources

Example-Guided Image Prior for Blind Image Deblurring

2017
This paper proposes a patch-based deblurring method to leverage the unregistered sharp example image which shares global or local contents with the blurred image in a variant view. Firstly, we propose a coarse-to-fine scheme to achieve the accurate image patches matching and solve the mismatch problem caused by the blur ambiguity.
Xueling Chen, Yu Zhu 0004, Wei Sun 0036, Yanning Zhang 0001   +3 more
openaire   +1 more source