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JOINT MINIMUM ENTROPY METHOD FOR SIMULTANEOUS PROCESSING AND FUSION OF MULTI-PHYSICS DATA AND IMAGES

机译:联合最小熵方法,用于多物理数据和图像的同时处理和融合

摘要

A method for the simultaneous imaging of different physical properties of an examined medium from multi-physics datasets and for digital enhancement and restoration of multiple multidimensional digital images is described. The method introduces nonnegative joint entropy determined as a joint weighted average of the logarithm of the corresponding density of the model parameters and/or images and/or their attributes. The joint entropy measures are introduced as additional constraints, and their minimization results in enforcing of the order and consistency between the different model parameters and/or multiple images and/or their transforms. The method does not require a priori knowledge about specific physical, analytical, empirical or statistical relationships between the different model parameters and/or multiple images and their attributes, nor does the method require a priori knowledge about specific geometric or structural relationships between different model parameters, images, and/or their attributes.
机译:描述了一种来自多物理数据集的检查介质的不同物理特性的方法以及多多维数字图像的数字增强和恢复。该方法将非负关节熵引入确定为模型参数和/或图像和/或其属性的相应密度的对数的关节加权平均值。联合熵措施被引入为额外的约束,并且它们的最小化导致执行不同模型参数和/或多个图像和/或其变换之间的顺序和一致性。该方法不需要先验知识关于不同模型参数和/或多个图像与其属性之间的特定物理,分析,经验或统计关系,并且该方法也不需要先验知识了关于不同模型参数之间的特定几何或结构关系的先验知识,图像和/或其属性。

著录项

  • 公开/公告号US2022012853A1

    专利类型

  • 公开/公告日2022-01-13

    原文格式PDF

  • 申请/专利权人 TECHNOIMAGING LLC;

    申请/专利号US202117343218

  • 发明设计人 MICHAEL S. ZHDANOV;

    申请日2021-06-09

  • 分类号G06T5;

  • 国家 US

  • 入库时间 2022-08-24 23:20:30

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