发明名称 |
USING AN MM-PRINCIPLE TO ENFORCE A SPARSITY CONSTRAINT ON FAST IMAGE DATA ESTIMATION FROM LARGE IMAGE DATA SETS |
摘要 |
<p>The mathematical majorize-minimize principle is applied in various ways to process the image data to provide a more reliable image from the backscatter data using a reduced amount of memory and processing resources. A processing device processes the data set by creating an estimated image value for each voxel in the image by iteratively deriving the estimated image value through application of a majorize-minimize principle to solve a maximum a posteriori (MAP) estimation problem associated with a mathematical model of image data from the data. A prior probability density function for the unknown reflection coefficients is used to apply an assumption that a majority of the reflection coefficients are small. The described prior probability density functions promote sparse solutions automatically estimated from the observed data.</p> |
申请公布号 |
WO2015050596(A2) |
申请公布日期 |
2015.04.09 |
申请号 |
WO2014US42562 |
申请日期 |
2014.06.16 |
申请人 |
HOWARD UNIVERSITY |
发明人 |
ANDERSON, JOHN;NDOYE, MANDOYE;ODE, OLUDOTUN;OGWORONJO, HENRY CHIDOZIE |
分类号 |
G01S13/02 |
主分类号 |
G01S13/02 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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