Superresolution enhancment of peripheral regions in nonlinear lens geometries
First Claim
1. Within an image acquisition system comprising a non-linear, wide-angled lens and an imaging sensor, a method of enhancing a scene containing one or more off-center peripheral regions, the method comprising:
- acquiring an initial distorted image with a large field of view, including using a non-linear, wide-angled lens and an imaging sensor;
determining and extracting an off-center region of interest (ROI) within said initial distorted image;
applying a geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI;
determining, on a pixel-by-pixel basis, a quality of reconstructed pixels within said first reconstructed ROI;
wherein, within the first reconstructed ROI, a first plurality of pixels have quality measures above a threshold, and a second plurality of pixels have quality measures below the threshold; and
acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with the second plurality of pixels of said first reconstructed ROI using a super-resolution technique to provide one or more enhanced ROIs;
wherein the method is performed using one or more computing devices.
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Abstract
A technique of enhancing a scene containing one or more off-center peripheral regions within an initial distorted image captured with a large field of view includes determining and extracting an off-center region of interest (hereinafter “ROI”) within the image. Geometric correction is applied to reconstruct the off-center ROI into a rectangular or otherwise undistorted or less distorted frame of reference as a reconstructed ROI. A quality of reconstructed pixels is determined within the reconstructed ROI. One or more additional initially distorted images is/are acquired, and matching additional ROIs are extracted and reconstructed to combine with reduced quality pixels of the first reconstructed ROI using a super-resolution technique to provide one or more enhanced ROIs.
272 Citations
18 Claims
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1. Within an image acquisition system comprising a non-linear, wide-angled lens and an imaging sensor, a method of enhancing a scene containing one or more off-center peripheral regions, the method comprising:
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acquiring an initial distorted image with a large field of view, including using a non-linear, wide-angled lens and an imaging sensor; determining and extracting an off-center region of interest (ROI) within said initial distorted image; applying a geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI; determining, on a pixel-by-pixel basis, a quality of reconstructed pixels within said first reconstructed ROI; wherein, within the first reconstructed ROI, a first plurality of pixels have quality measures above a threshold, and a second plurality of pixels have quality measures below the threshold; and acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with the second plurality of pixels of said first reconstructed ROI using a super-resolution technique to provide one or more enhanced ROIs; wherein the method is performed using one or more computing devices. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A digital image acquisition device, comprising:
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a non-linear, wide-angled lens and an imaging sensor configured to capture digital images of scenes containing one or more off-center peripheral regions, including an initial distorted image with a large field of view; a processor; a memory having code embedded therein for programming the processor to perform a method of enhancing a scene containing one or more off-center peripheral regions, wherein the method comprises; acquiring the initial distorted image with the large field of view, including using the non-linear, wide-angled lens and the imaging sensor; determining and extracting an off-center region of interest (ROI) within said initial distorted image; applying a geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI; determining, on a pixel-by-pixel basis, a quality of reconstructed pixels within said first reconstructed ROI; wherein, within the first reconstructed ROI, a first plurality of pixels have quality measures above a threshold, and a second plurality of pixels have quality measures below the threshold; and acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with pixels of said first reconstructed ROI using a super-resolution technique to provide one or more enhanced ROIs. - View Dependent Claims (8, 9, 10, 11, 12)
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13. One or more non-transitory, processor-readable storage media having code embedded therein for programming a processor to perform a method of enhancing a scene captured with a non-linear, wide-angled lens and containing one or more off-center peripheral regions, wherein
the method comprising: -
determining and extracting an off-center region of interest (ROI) within an acquired image; applying a geometric correction to reconstruct the off-center ROI into an approximately rectangular frame of reference as a first reconstructed ROI; determining, on a pixel-by-pixel basis, a quality of reconstructed pixels within said first reconstructed ROI; wherein, within the first reconstructed ROI, a first plurality of pixels have quality measures above a threshold, and a second plurality of pixels have quality measures below the threshold; and acquiring one or more additional initially distorted images, and extracting and reconstructing matching additional ROIs to combine with the second plurality of pixels of said first reconstructed ROI using a super-resolution technique to provide one or more enhanced ROIs. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification