Suchergebnisse - generic blind deconvolution algorithms

Blind atmospheric turbulence deconvolution von Deledalle, Charles-Alban, Gilles, Jérôme

“… A new blind image deconvolution technique is developed for atmospheric turbulence deblurring to overcome limitations of ‘generic …”
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Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution von Huang, Yunshi, Chouzenoux, Emilie, Pesquet, Jean-Christophe

“… In this paper, we introduce a variational Bayesian algorithm (VBA) for image blind deconvolution …”
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Blind Deconvolution Using Convex Programming von Ahmed, Ali, Recht, Benjamin, Romberg, Justin

“… *. This observation allows us to recast the deconvolution problem as low-rank matrix recovery problem from linear measurements, whose natural convex relaxation is a nuclear norm minimization program …”
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Restoration of atmospheric turbulence degraded images von Shi, Dongfeng, Fan, Chengyu, Shen, Hong, Zhang, Pengfei, Qiao, Chunhong, Feng, Xiaoxing, Wang, Yingjian

“… A blind image deconvolution algorithm in the frequency domain is proposed which uses the edge-preserving method and generic bandwidth of optical system …”
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Structured Local Optima in Sparse Blind Deconvolution von Zhang, Yuqian, Kuo, Han-Wen, Wright, John

“… Blind deconvolution is a ubiquitous problem aiming to recover a convolution kernel <inline-formula> <tex-math notation="LaTeX">\boldsymbol a_{0}\in \mathbb R ^{k} </tex-math></inline-formula …”
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Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution von Ma, Cong, Wang, Kaizheng, Chi, Yuejie, Chen, Yuxin

“… Recent years have seen a flurry of activities in designing provably efficient nonconvex procedures for solving statistical estimation problems. Due to the …”
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Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model von Lee, Kiryung, Tian, Ning, Romberg, Justin

“… We consider the multichannel blind deconvolution problem where we observe the output of multiple channels that are all excited with the same unknown input …”
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Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution von Huang, Yunshi, Chouzenoux, Emilie, Jean-Christophe Pesquet

“… In this paper, we introduce a variational Bayesian algorithm (VBA) for image blind deconvolution …”
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Leveraging Diversity and Sparsity in Blind Deconvolution von Ahmed, Ali, Demanet, Laurent

“… This paper considers recovering <inline-formula> <tex-math notation="LaTeX">L </tex-math></inline-formula>-dimensional vectors <inline-formula> <tex-math …”
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Blind equalization of square-QAM signals: a multimodulus approach von Abrar, Shafayat, Nandi, Asoke

“… By generalizing and modifying some existing cost-functions, we present two new, generic and efficient multimodulus families of blind equalization algorithms for use in higher-order quadrature …”
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Optimal sparse representations for blind source separation and blind deconvolution: a learning approach von Bronstein, M.M., Bronstein, A.M., Zibulevsky, M., Zeevi, Y.Y.

“… We present a generic approach, which allows to adapt sparse blind deconvolution and blind source separation algorithms to arbitrary sources …”
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On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems von Liu, Risheng, Cheng, Shichao, He, Yi, Fan, Xin, Lin, Zhouchen, Luo, Zhongxuan

“… This paper moves beyond these limits and proposes Flexible Iterative Modularization Algorithm (FIMA …”
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Closed-Loop Restoration Approach to Blurry Images Based on Machine Learning and Feedback Optimization von Yousaf, Saqib, Qin, Shiyin

“… Blind image deconvolution (BID) aims to remove or reduce the degradations that have occurred during the acquisition or processing …”
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A fast linear programming algorithm for blind equalization von Ding, Zhi, Zhi-Quan Luo

“… For a generic class of channels with persistently exciting quadrature amplitude modulation input signals, this new algorithm allows the convergence of equalizer parameters to a unique global minimum …”
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Learning Discriminative Data Fitting Functions for Blind Image Deblurring von Jinshan Pan, Jiangxin Dong, Yu-Wing Tai, Zhixun Su, Ming-Hsuan Yang

“… While existing algorithms mainly focus on developing image priors for blur kernel estimation and non-blind deconvolution, only a few methods consider the effect of data fitting functions …”
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Blind Bi-Level Image Restoration With Iterated Quadratic Programming von Lam, E.Y.

“… While image restoration has been applied frequently in such cases, many of these algorithms do not explicitly incorporate knowledge of a bi-level object, but attempt to apply a generic restoration …”
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On the causality problem in time-domain blind source separation and deconvolution algorithms von Aichner, R., Buchner, H., Kellermann, W.

“… Using a recently presented generic framework for multichannel blind signal processing for convolutive mixtures, we investigate the problem of incorporating acausal delays which are necessary …”
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Efficient Methodologies for Single-Image Blind Deconvolution and Deblurring von Khan, Aftab

“… The Blind Image Deconvolution/Deblurring (BID) problem was realised in the early 1960s but it still remains a challenging task for the image processing research …”
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Relationships between the constant modulus and Wiener receivers von Zeng, H.H., Lang Tong, Johnson, C.R.

“… The Godard (1980) or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications …”
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Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution von Ma, Cong, Wang, Kaizheng, Chi, Yuejie, Chen, Yuxin

“… Recent years have seen a flurry of activities in designing provably efficient nonconvex procedures for solving statistical estimation problems. Due to the …”
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