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US 2016/0098378 A1Published application
Method and System for Performing Robust Regular Gridded Data Resampling
AssigneeExelis, Inc.
InventorBrian Joseph Griglak
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Abstract
During data resampling, bad samples are ignored or replaced with some combination of the good sample values in the neighborhood being processed. The sample replacement can be performed using a number of approaches, including serial and parallel implementations, such as branch-based implementations, matrix-based implementations, and function table-based implementations, and can use a number of modes, such as nearest neighbor, bilinear and cubic convolution.
Claims16
An integrated circuit-implemented method of performing data resampling, comprising:
- controlling a processor to read executable computer instructions from a non-transitory computer memory, the executable computer instructions for controlling at least one integrated circuit to perform the steps of:
- reading data to be resampled from a computer memory;
- and
- for data items in the data to be resampled, performing the steps of:
- selecting a data item at location (x,y);
- assigning a value of i to floor(x);
- assigning a value of j to floor(y);
- determining dx such that dx=x−i;
- determining dy such that dy=y−j;
- determining validities of at least four points surrounding location (x,y);
- and
- calculating a resampled value for the data item at location (x,y) using i, j, dx, dy and valid points of the at least four points surrounding location (x,y).
9 more elements
Dependencies are inferred from the claim text.