Results 151 to 160 of about 4,335 (202)
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2021 6th International Conference for Convergence in Technology (I2CT), 2021
With the growth of technology and digital media, images have started playing a critical role not only in our day-to-day lives but also in fields like Biology and Astronomy to name a few. However, images prove to be useful only when they can successfully convey information to a viewer.
Vahida Attar +3 more
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With the growth of technology and digital media, images have started playing a critical role not only in our day-to-day lives but also in fields like Biology and Astronomy to name a few. However, images prove to be useful only when they can successfully convey information to a viewer.
Vahida Attar +3 more
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Blind Deblurring for Saturated Images
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021Blind deblurring has received considerable attention in recent years. However, state-of-the-art methods often fail to process saturated blurry images. The main reason is that pixels around saturated regions are not conforming to the commonly used linear blur model.
Liang Chen +4 more
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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We present a novel approach to noise-blind deblurring, the problem of deblurring an image with known blur, but unknown noise level. We introduce an efficient and robust solution based on a Bayesian framework using a smooth generalization of the 0-1 loss. A novel bound allows the calculation of very high-dimensional integrals in closed form.
Meiguang Jin, Stefan Roth, Paolo Favaro
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We present a novel approach to noise-blind deblurring, the problem of deblurring an image with known blur, but unknown noise level. We introduce an efficient and robust solution based on a Bayesian framework using a smooth generalization of the 0-1 loss. A novel bound allows the calculation of very high-dimensional integrals in closed form.
Meiguang Jin, Stefan Roth, Paolo Favaro
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Blind deblurring of spiral CT images
IEEE Transactions on Medical Imaging, 2001To discriminate fine anatomical features in the inner ear, it has been desirable that spiral computed tomography (CT) may perform beyond their current resolution limits with the aid of digital image processing techniques. In this paper, we develop a blind deblurring approach to enhance image resolution retrospectively without complete knowledge of the ...
Ming, Jiang +4 more
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Blind and Semi-Blind Deblurring of Natural Images
IEEE Transactions on Image Processing, 2010A method for blind image deblurring is presented. The method only makes weak assumptions about the blurring filter and is able to undo a wide variety of blurring degradations. To overcome the ill-posedness of the blind image deblurring problem, the method includes a learning technique which initially focuses on the main edges of the image and gradually
Mariana S C, Almeida, Luís B, Almeida
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Blind face images deblurring with enhancement
Multimedia Tools and Applications, 2020Face images deblurring has achieved advanced development; however, existing methods involve high computational cost problems. Furthermore, the recovered face images by current methods have the problems of over-smooth textures, ringing artifacts, and poor details. We consider the problem of face images deblurring as a semantic generation task.
Qing Qi +3 more
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Single image blind motion deblurring
SPIE Proceedings, 2016Recovering a latent image from its blurry version is a severely ill-posed problem. In this paper a post process method is proposed for accurately estimating motion blur kernel based on its prior knowledge. And considering the small details destroy blur kernel estimation, an image decomposition process is executed before the estimation, which can ...
Bingbing Duan, Yi Li
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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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Single image blind deblurring with image decomposition
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012How to deal with themotion blurred image is a common problem in our daily life. Restoring blurred images is challenging, especially when both the blur kernel and the sharp image are unknown. In this work, we present a new algorithm for removing motion blur from a single image, which incorporates the image decomposition into the image deblurring process.
Yuquan Xu +3 more
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Effective Blind Image Deblurring Using Matrix-Variable Optimization
IEEE Transactions on Image Processing, 2021Blind image deblurring has been a challenging issue due to the unknown blur and computation problem. Recently, the matrix-variable optimization method successfully demonstrates its potential advantages in computation. This paper proposes an effective matrix-variable optimization method for blind image deblurring.
Liqing Huang, Youshen Xia, Tiantian Ye
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