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    Inverse Surfacelet Transform for Image Reconstruction With Constrained Conjugate Gradient Methods

    Source: Journal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 002::page 21005
    Author:
    Huang, Wei
    ,
    Wang, Yan
    ,
    Rosen, David W.
    DOI: 10.1115/1.4026376
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Image reconstruction is the transformation process from a reducedorder representation to the original image pixel form. In materials characterization, it can be utilized as a method to retrieve material composition information. In our previous work, a surfacelet transform was developed to efficiently represent boundary information in material images with surfacelet coefficients. In this paper, new constrainedconjugategradient based image reconstruction methods are proposed as the inverse surfacelet transform. With geometric constraints on boundaries and internal distributions of materials, the proposed methods are able to reconstruct material images from surfacelet coefficients as either lossy or lossless compressions. The results between the proposed and other optimization methods for solving the leastsquare error inverse problems are compared.
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      Inverse Surfacelet Transform for Image Reconstruction With Constrained Conjugate Gradient Methods

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    http://yetl.yabesh.ir/yetl1/handle/yetl/154224
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    contributor authorHuang, Wei
    contributor authorWang, Yan
    contributor authorRosen, David W.
    date accessioned2017-05-09T01:06:04Z
    date available2017-05-09T01:06:04Z
    date issued2014
    identifier issn1530-9827
    identifier otherjcise_014_02_021005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154224
    description abstractImage reconstruction is the transformation process from a reducedorder representation to the original image pixel form. In materials characterization, it can be utilized as a method to retrieve material composition information. In our previous work, a surfacelet transform was developed to efficiently represent boundary information in material images with surfacelet coefficients. In this paper, new constrainedconjugategradient based image reconstruction methods are proposed as the inverse surfacelet transform. With geometric constraints on boundaries and internal distributions of materials, the proposed methods are able to reconstruct material images from surfacelet coefficients as either lossy or lossless compressions. The results between the proposed and other optimization methods for solving the leastsquare error inverse problems are compared.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleInverse Surfacelet Transform for Image Reconstruction With Constrained Conjugate Gradient Methods
    typeJournal Paper
    journal volume14
    journal issue2
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4026376
    journal fristpage21005
    journal lastpage21005
    identifier eissn1530-9827
    treeJournal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian