Infrared imaging enhancement with fusion
First Claim
1. A system comprising:
- a memory adapted to receive a visible spectrum image of a scene from a visible spectrum imager and a plurality of infrared images of the scene from an infrared imager; and
a processor configured to communicate with the memory, wherein the processor is configured to;
generate a blurred infrared image from at least one of the plurality of infrared images;
determine, for each row of the blurred infrared image, a corresponding row fixed pattern noise (FPN) correction term;
determine, for each column of the blurred infrared image, a corresponding column FPN correction term;
apply the row and column FPN correction terms to the blurred infrared image to provide a row and column FPN corrected blurred infrared image;
determine a plurality of non-uniformity correction (NUC) terms based, at least in part, on the row and column FPN corrected blurred infrared image;
apply the NUC terms to one of the plurality of the infrared images to remove noise from the one of the plurality of the infrared images to provide a corrected infrared image;
receive control parameters;
derive high spatial frequency content from at least one of the visible spectrum image and the corrected infrared image; and
generate a combined image comprising relative contributions of at least the high spatial frequency content, wherein the relative contributions are determined in real-time by a user adjusting the control parameters.
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Abstract
Techniques using small form factor infrared imaging modules are disclosed. An imaging system may include visible spectrum imaging modules, infrared imaging modules, and other modules to interface with a user and/or a monitoring system. Visible spectrum imaging modules and infrared imaging modules may be positioned in proximity to a scene that will be monitored while visible spectrum-only images of the scene are either not available or less desirable than infrared images of the scene. Imaging modules may be configured to capture images of the scene at different times. Image analytics and processing may be used to generate combined images with infrared imaging features and increased detail and contrast. Triple fusion processing, including selectable aspects of non-uniformity correction processing, true color processing, and high contrast processing, may be performed on the captured images. Control signals based on the combined images may be presented to a user and/or a monitoring system.
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Citations
24 Claims
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1. A system comprising:
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a memory adapted to receive a visible spectrum image of a scene from a visible spectrum imager and a plurality of infrared images of the scene from an infrared imager; and a processor configured to communicate with the memory, wherein the processor is configured to; generate a blurred infrared image from at least one of the plurality of infrared images; determine, for each row of the blurred infrared image, a corresponding row fixed pattern noise (FPN) correction term; determine, for each column of the blurred infrared image, a corresponding column FPN correction term; apply the row and column FPN correction terms to the blurred infrared image to provide a row and column FPN corrected blurred infrared image; determine a plurality of non-uniformity correction (NUC) terms based, at least in part, on the row and column FPN corrected blurred infrared image; apply the NUC terms to one of the plurality of the infrared images to remove noise from the one of the plurality of the infrared images to provide a corrected infrared image; receive control parameters; derive high spatial frequency content from at least one of the visible spectrum image and the corrected infrared image; and generate a combined image comprising relative contributions of at least the high spatial frequency content, wherein the relative contributions are determined in real-time by a user adjusting the control parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 24)
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12. A method comprising:
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receiving a visible spectrum image of a scene from a visible spectrum imager and a plurality of infrared images of the scene from an infrared imager; generating a blurred infrared image from at least one of the plurality of infrared images; determining, for each row of the blurred infrared image, a corresponding row fixed pattern noise (FPN) correction term; determining, for each column of the blurred infrared image, a corresponding column FPN correction term; applying the row and column FPN correction terms to the blurred infrared image to provide a row and column FPN corrected blurred infrared image; determining a plurality of non-uniformity correction (NUC) terms based, at least in part, on the row and column FPN corrected blurred infrared image; applying the NUC terms to one of the plurality of the infrared images to remove noise from the one of the plurality of the infrared images to provide a corrected infrared image; receiving control parameters; deriving color characteristics of the scene from at least one of the visible spectrum image and the corrected infrared image; and generating a combined image comprising relative contributions of at least the color characteristics, wherein the relative contributions are determined in real-time by a user adjusting the control parameters. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A non-transitory machine-readable medium comprising a plurality of machine-readable instructions which when executed by one or more processors of a system are adapted to cause the system to perform a method comprising:
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receiving a visible spectrum image of a scene from a visible spectrum imager and a plurality of infrared images of the scene from an infrared imager; generating a blurred infrared image least one of the plurality of infrared images; determining, for each row of the blurred infrared image, a corresponding row fixed pattern noise (FPN) correction term; determining, for each column of the blurred infrared image, a corresponding column FPN correction term; applying the row and column FPN correction terms to the blurred infrared image to provide a row and column FPN corrected blurred infrared image; determining a plurality of non-uniformity correction (NUC) terms based, at least in part, on the row and column FPN corrected blurred infrared image; applying the NUC terms to one of the plurality of the infrared images to remove noise from the one of the plurality of the infrared images to provide a corrected infrared image; receiving control parameters; deriving high spatial frequency content from at least one of the visible spectrum image and the corrected infrared image; and generating a combined image comprising relative contributions of at least the high spatial frequency content, wherein the relative contributions are determined in real-time by a user adjusting the control parameters.
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Specification