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Inverse Problems and Imaging最新文献

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Velocity modeling based on Rayleigh wave dispersion curve and sparse optimization inversion 基于瑞利波频散曲线和稀疏优化反演的速度建模
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/IPI.2021031
Yan Cui, Yanfei Wang
{"title":"Velocity modeling based on Rayleigh wave dispersion curve and sparse optimization inversion","authors":"Yan Cui, Yanfei Wang","doi":"10.3934/IPI.2021031","DOIUrl":"https://doi.org/10.3934/IPI.2021031","url":null,"abstract":"This paper studies the S wave velocity modeling based on the Rayleigh wave dispersion curve inversion. We first discuss the forward simulation, and present a fast root-finding method with cubic-order of convergence speed to obtain the Rayleigh wave dispersion curve. With the Rayleigh wave dispersion curve as the observation data, and considering the prior geological anomalies structural information, we establish a sparse constraint regularization model, and propose an iterative solution method to solve for the S wave velocity. Experimental tests are performed both on the theoretical models and on the field data. It indicates from the experimental results that our new inversion scheme possesses the characteristics of easy calculation, high computational efficiency and high precision for model characterization.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"23 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86524200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Nonconvex regularization for blurred images with Cauchy noise 柯西噪声模糊图像的非凸正则化
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/ipi.2021065
Xiao Ai, Guoxi Ni, T. Zeng
{"title":"Nonconvex regularization for blurred images with Cauchy noise","authors":"Xiao Ai, Guoxi Ni, T. Zeng","doi":"10.3934/ipi.2021065","DOIUrl":"https://doi.org/10.3934/ipi.2021065","url":null,"abstract":"<p style='text-indent:20px;'>In this paper, we propose a nonconvex regularization model for images damaged by Cauchy noise and blur. This model is based on the method of the total variational proposed by Federica, Dong and Zeng [SIAM J. Imaging Sci.(2015)], where a variational approach for restoring blurred images with Cauchy noise is used. Here we consider the nonconvex regularization, namely a weighted difference of <inline-formula><tex-math id=\"M1\">begin{document}$ l_1 $end{document}</tex-math></inline-formula>-norm and <inline-formula><tex-math id=\"M2\">begin{document}$ l_2 $end{document}</tex-math></inline-formula>-norm coupled with wavelet frame, the alternating direction method of multiplier is carried out for this minimization problem, we describe the details of the algorithm and prove its convergence. Numerical experiments are tested by adding different levels of noise and blur, results show that our method can denoise and deblur the image better.</p>","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"126 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89883354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Large region inpainting by re-weighted regularized methods 采用重加权正则化方法绘制大面积区域
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/IPI.2021015
Yiting Chen, Jia Li, Qingyun Yu
{"title":"Large region inpainting by re-weighted regularized methods","authors":"Yiting Chen, Jia Li, Qingyun Yu","doi":"10.3934/IPI.2021015","DOIUrl":"https://doi.org/10.3934/IPI.2021015","url":null,"abstract":"In the development of imaging science and image processing request in our daily life, inpainting large regions always plays an important role. However, the existing local regularized models and some patch manifold based non-local models are often not effective in restoring the features and patterns in the large missing regions. In this paper, we will apply a strategy of inpainting from outside to inside and propose a re-weighted matching algorithm by closest patch (RWCP), contributing to further enhancing the features in the missing large regions. Additionally, we propose another re-weighted matching algorithm by distance-based weighted average (RWWA), leading to a result with higher PSNR value in some cases. Numerical simulations will demonstrate that for large region inpainting, the proposed method is more applicable than most canonical methods. Moreover, combined with image denoising methods, the proposed model is also applicable for noisy image restoration with large missing regions.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78176441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Convergence rates of Tikhonov regularization for recovering growth rates in a Lotka-Volterra competition model with diffusion 具有扩散的Lotka-Volterra竞争模型中恢复增长率的Tikhonov正则化收敛率
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/IPI.2021023
De-Han Chen, Daijun Jiang
{"title":"Convergence rates of Tikhonov regularization for recovering growth rates in a Lotka-Volterra competition model with diffusion","authors":"De-Han Chen, Daijun Jiang","doi":"10.3934/IPI.2021023","DOIUrl":"https://doi.org/10.3934/IPI.2021023","url":null,"abstract":"In this paper, we shall study the convergence rates of Tikhonov regularizations for the recovery of the growth rates in a Lotka-Volterra competition model with diffusion. The ill-posed inverse problem is transformed into a nonlinear minimization system by an appropriately selected version of Tikhonov regularization. The existence of the minimizers to the minimization system is demonstrated. We shall propose a new variational source condition, which will be rigorously verified under a Hölder type stability estimate. We will also derive the reasonable convergence rates under the new variational source condition.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"78 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77699656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A stable non-iterative reconstruction algorithm for the acoustic inverse boundary value problem 声学反边值问题的稳定非迭代重构算法
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/IPI.2021038
Tianyu Yang, Yang Yang
{"title":"A stable non-iterative reconstruction algorithm for the acoustic inverse boundary value problem","authors":"Tianyu Yang, Yang Yang","doi":"10.3934/IPI.2021038","DOIUrl":"https://doi.org/10.3934/IPI.2021038","url":null,"abstract":"We present a non-iterative algorithm to reconstruct the isotropic acoustic wave speed from the measurement of the Neumann-to-Dirichlet map. The algorithm is designed based on the boundary control method and involves only computations that are stable. We prove the convergence of the algorithm and present its numerical implementation. The effectiveness of the algorithm is validated on both constant speed and variable speed, with full and partial boundary measurement as well as different levels of noise.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"13 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81936120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Inverse scattering and stability for the biharmonic operator 双调和算子的逆散射和稳定性
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/ipi.2020064
Siamak Rabieniaharatbar
{"title":"Inverse scattering and stability for the biharmonic operator","authors":"Siamak Rabieniaharatbar","doi":"10.3934/ipi.2020064","DOIUrl":"https://doi.org/10.3934/ipi.2020064","url":null,"abstract":"We investigate the inverse scattering problem of the perturbed biharmonic operator by studying the recovery process of the magnetic field begin{document}$ {mathbf{A}} $end{document} and the potential field begin{document}$ V $end{document} . We show that the high-frequency asymptotic of the scattering amplitude of the biharmonic operator uniquely determines begin{document}$ {rm{curl}} {mathbf{A}} $end{document} and begin{document}$ V-frac{1}{2}nablacdot{mathbf{A}} $end{document} . We study the near-field scattering problem and show that the high-frequency asymptotic expansion up to an error begin{document}$ mathcal{O}(lambda^{-4}) $end{document} recovers above two quantities with no additional information about begin{document}$ {mathbf{A}} $end{document} and begin{document}$ V $end{document} . We also establish stability estimates for begin{document}$ {rm{curl}} {mathbf{A}} $end{document} and begin{document}$ V-frac{1}{2}nablacdot{mathbf{A}} $end{document} .","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"12 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81955834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The interior inverse scattering problem for a two-layered cavity using the Bayesian method 用贝叶斯方法求解两层腔体内部逆散射问题
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/ipi.2021069
Yunwen Yin, W. Yin, P. Meng, Hongyu Liu
{"title":"The interior inverse scattering problem for a two-layered cavity using the Bayesian method","authors":"Yunwen Yin, W. Yin, P. Meng, Hongyu Liu","doi":"10.3934/ipi.2021069","DOIUrl":"https://doi.org/10.3934/ipi.2021069","url":null,"abstract":"In this paper, the Bayesian method is proposed for the interior inverse scattering problem to reconstruct the interface of a two-layered cavity. The scattered field is measured by the point sources located on a closed curve inside the interior interface. The well-posedness of the posterior distribution in the Bayesian framework is proved. The Markov Chain Monte Carlo algorithm is employed to explore the posterior density. Some numerical experiments are presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"13 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73697629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Fourier method for reconstructing elastic body force from the coupled-wave field 从耦合波场重构弹性体力的傅立叶方法
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/ipi.2021052
Xianchao Wang, Jiaqi Zhu, Minghui Song, Wei Wu
{"title":"Fourier method for reconstructing elastic body force from the coupled-wave field","authors":"Xianchao Wang, Jiaqi Zhu, Minghui Song, Wei Wu","doi":"10.3934/ipi.2021052","DOIUrl":"https://doi.org/10.3934/ipi.2021052","url":null,"abstract":"This paper is concerned with the inverse source problem of the time-harmonic elastic waves. A novel non-iterative reconstruction scheme is proposed for determining the elastic body force by using the multi-frequency Fourier expansion. The key ingredient of the approach is to choose appropriate admissible frequencies and establish an relationship between the Fourier coefficients and the coupled-wave field of compressional wave and shear wave. Both theoretical justifications and numerical examples are presented to verify the validity and robustness of the proposed method.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"103 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80304687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Identification and stability of small-sized dislocations using a direct algorithm 基于直接算法的小尺寸位错辨识与稳定性研究
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/ipi.2021046
Batoul Abdelaziz, A. E. Badia, A. Hajj
{"title":"Identification and stability of small-sized dislocations using a direct algorithm","authors":"Batoul Abdelaziz, A. E. Badia, A. Hajj","doi":"10.3934/ipi.2021046","DOIUrl":"https://doi.org/10.3934/ipi.2021046","url":null,"abstract":"This paper considers the problem of identifying dislocation lines of curvilinear form in three-dimensional materials from boundary measurements, when the areas surrounded by the dislocation lines are assumed to be small-sized. The objective of this inverse problem is to reconstruct the number, the initial position and certain characteristics of these dislocations and establish, using certain test functions, a Hölder stability of the centers. This paper can be considered as a generalization of [9], where instead of reconstructing point-wise dislocations, as done in the latter paper, our aim is to recover the parameters of line dislocations by employing a direct algebraic algorithm.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89632964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A nonlocal low rank model for poisson noise removal 泊松噪声去除的非局部低秩模型
IF 1.3 4区 数学
Inverse Problems and Imaging Pub Date : 2021-01-01 DOI: 10.3934/ipi.2021003
Mingchao Zhao, Y. Wen, Michael K. Ng, Hongwei Li
{"title":"A nonlocal low rank model for poisson noise removal","authors":"Mingchao Zhao, Y. Wen, Michael K. Ng, Hongwei Li","doi":"10.3934/ipi.2021003","DOIUrl":"https://doi.org/10.3934/ipi.2021003","url":null,"abstract":"Patch-based methods, which take the advantage of the redundancy and similarity among image patches, have attracted much attention in recent years. However, these methods are mainly limited to Gaussian noise removal. In this paper, the Poisson noise removal problem is considered. Unlike Gaussian noise which has an identical and independent distribution, Poisson noise is signal dependent, which makes the problem more challenging. By incorporating the prior that a group of similar patches should possess a low-rank structure, and applying the maximum a posterior (MAP) estimation, the Poisson noise removal problem is formulated as an optimization one. Then, an alternating minimization algorithm is developed to find the minimizer of the objective function efficiently. Convergence of the minimizing sequence will be established, and the efficiency and effectiveness of the proposed algorithm will be demonstrated by numerical experiments.","PeriodicalId":50274,"journal":{"name":"Inverse Problems and Imaging","volume":"4 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91047154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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