We introduce a general iterative scheme for angle-limited image reconstruction based on Landweber's method. We derive a representation formula for this scheme and consequently establish its convergence conditions. Our results suggest certain relaxation strategies for an accelerated convergence for angle-limited image reconstruction in L (2)-norm comparing with alternative projection methods. The convolution-backprojection algorithm is given for this iterative process.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000264259400015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Mathematics, AppliedSCI(E)中国科学引文数据库(CSCD)5ARTICLE2327-3342
The reconstructing of an image from its projections is formulated and solved as a constraint optimiz...
It is well known that iterative algorithms for image deblurring that involve the normal equations sh...
Several iterative methods are available for solving the ill-posed problem of image reconstruction. T...
The iterative approach is important for image reconstruction with ill-posed problem, especially for ...
The Landweber method provides a framework to formulate iterative algorithms for image reconstruction...
We introduce a general iterative scheme for image reconstruction based on Landweber's method. I...
We establish an improved GP iterative algorithm for the extrapolation of band-limited function to fu...
The Landweber scheme is an algebraic reconstruction method and includes several important algorithms...
The Landweber method is a simple and flexible iterative regularization algorithm, whose projected va...
The structure of the reconstruction algorithm OPED permits a natural way to generate additional data...
Abstract. The structure of the reconstruction algorithm OPED permits a natural way to generate addit...
With the development of the compressive sensing theory, the image reconstruction from the projection...
The projected Landweber method is an iterative method for solving constrained least-squares problems...
Caption title.Includes bibliographical references.Supported by the National Science Foundation. ECS-...
The theory of tomographical imaging with limited-angular input is discussed , from which two reconst...
The reconstructing of an image from its projections is formulated and solved as a constraint optimiz...
It is well known that iterative algorithms for image deblurring that involve the normal equations sh...
Several iterative methods are available for solving the ill-posed problem of image reconstruction. T...
The iterative approach is important for image reconstruction with ill-posed problem, especially for ...
The Landweber method provides a framework to formulate iterative algorithms for image reconstruction...
We introduce a general iterative scheme for image reconstruction based on Landweber's method. I...
We establish an improved GP iterative algorithm for the extrapolation of band-limited function to fu...
The Landweber scheme is an algebraic reconstruction method and includes several important algorithms...
The Landweber method is a simple and flexible iterative regularization algorithm, whose projected va...
The structure of the reconstruction algorithm OPED permits a natural way to generate additional data...
Abstract. The structure of the reconstruction algorithm OPED permits a natural way to generate addit...
With the development of the compressive sensing theory, the image reconstruction from the projection...
The projected Landweber method is an iterative method for solving constrained least-squares problems...
Caption title.Includes bibliographical references.Supported by the National Science Foundation. ECS-...
The theory of tomographical imaging with limited-angular input is discussed , from which two reconst...
The reconstructing of an image from its projections is formulated and solved as a constraint optimiz...
It is well known that iterative algorithms for image deblurring that involve the normal equations sh...
Several iterative methods are available for solving the ill-posed problem of image reconstruction. T...