Systems and methods for image sharpening
AssigneeRaytheon Company
InventorsRaymond Samaniego, Jerry Michael Grimm
Life of this patent
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Abstract
A method of generating an image comprises accessing a dataset gathered from a sensor system and generating, from the dataset, a first image including a plurality of image elements. The method further includes generating a training image by combining the dataset with known sensor responses and generating a weighting factor by correcting the training image in view of the known sensor responses. The method further includes applying the weighting factor to one of the plurality of image elements to form a weighted image element.
Claims20
A method of generating an image comprising:
- accessing a dataset gathered from a sensor system;
- generating, from the dataset, a first image including a plurality of image elements;
- generating a training image by combining the dataset with known sensor responses;
- generating a weighting factor by correcting the training image in view of the known sensor responses;
- and
- applying the weighting factor to one of the plurality of image elements to form a weighted image element.
An image generation system comprising a sensor processor operable to:
- access a dataset gathered from a sensor system coupled to the image generation system;
- generate, from the dataset, a first image including a plurality of image elements;
- generate a training image by combining the dataset with known sensor responses;
- generate a weighting factor by correcting the training image in view of the known sensor responses;
- and
- apply the weighting factor to one of the plurality of image elements to form a weighted image element.
A synthetic aperture radar (SAR) image generation method comprising:
- accessing a dataset gathered from a SAR system;
- generating, from the dataset, a first 3D image including a plurality of image voxels;
- generating a training image by combining the dataset with training SAR responses;
- deriving one or more weighting coefficients by correcting the training image in view of the training SAR responses;
- determining a weighting factor based on at least one property of the dataset and the one or more weighting coefficients;
- and
- applying the weighting factor to one of the plurality of image elements to form a weighted image element.
Dependencies are inferred from the claim text.