Omnidirectional imaging optics with 360°-seamless telescopic resolution

1. A system comprising an image stitching module configured to:

receive a plurality of images from a corresponding plurality of image sensors arranged in an array, images of the plurality of images having a central region comprising an image from a single facet of a multifaceted imaging structure and an edge region comprising an image from an imaging region between two facets of the multifaceted imaging structure, wherein the imaging region between the two facets is configured to direct light from a world point within a first field of view of the multifaceted imaging structure onto two of the sensors of the plurality of sensors;

combine the plurality of images into a composite image using the edge regions from the plurality of images; and

provide the composite image to an image display module or an image recording module.

2. The system of claim 1 , further configured to apply surface-based image transforms to the plurality of images to project the images onto a rectilinear system.

3. The system of claim 1 , wherein the step of combining the plurality of images into a composite image comprises applying a gradient descent algorithm based on a predetermined cost function.

4. The system of claim 3 , wherein the cost function is configured to minimize visible transitions between images by spatially translating the images.

5. The system of claim 3 , wherein combining the plurality of images comprises calculating image derivatives between successive image frames within the edge regions.

6. The system of claim 3 , wherein combining the plurality of images comprises calculating image derivatives between successive image frames within the edge regions without calculating derivatives between successive image frames within the central regions.

7. The system of claim 3 , wherein combining the plurality of images comprises minimizing the cost function, C d , with respect to two input images, I 1 , I 2 , in the form:

C d ( I; I 1 ,I 2 ,w )= d (∇ Î,∇I 1 ,t 1 ∪w,w )+ d (∇ Î,∇I 2 ,t 2 ∪w,U−w )

where w is a weighting value, t 1 is the area of image, i, ω is the area of the edge regions, Î is an estimate of the composite image, and d is a distance function where

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8. The system of claim 1 , further comprising an image display module configured to receive the composite image and configured to display a reduced resolution portion of the image on a display device by correlating pixel values from predetermined subsets of the composite image and displaying the correlated pixel values on the display device.

9. The system of claim 1 , further comprising an image display module configured to:

receive the composite image and to select a region of the composite image and display the region of the composite on the display device, and

to pan the displayed portion of the image by translating the selected region.

10. The system of claim 9 , wherein the image display module is further configured to perform electronic frame stabilization by identifying the image of a reference world point as a reference point and translating the selected region to maintain the position of the image within the selected region with respect to the reference point.

11. The system of claim 1 , further comprising a pattern recognition module configured to identify a silhouette or profile of a predetermined object within the composite image.

12. The system of claim 11 , wherein identifying the silhouette or profile comprises performing pixel-by-pixel frame subtraction or object edge extraction based on mean square error, peak signal-to-noise ratio, profile polar distribution, or polar compliance parameters.

13. The system of claim 11 , further comprising an image compression module, configured to receive information regarding the identified silhouettes or profiles within the composite image from the pattern recognition module and configured to compress the composite image by compressing image regions within the identified silhouettes or profiles with a first compression ratio and compressing image regions outside the identified silhouettes or profiles with a second compression ratio.

14. The system of claim 1 , wherein the multifaceted imaging structure comprises a plurality of facets, and each facet of the imaging structure includes a focal point corresponding to a corner of a different image sensor of the plurality of image sensors.

15. The system of claim 1 , wherein the facets of the multifaceted imaging structure are convex facets, the imaging region between two facets comprises a concave seam, and the imaging region between two facets comprises a concave seam created by edge regions of adjacent convex facets.

16. The system of claim 1 , wherein the facets of the multifaceted imaging structure are convex facets, the imaging region between two facets comprises a concave seam, and curvatures of the convex facets on either side of a concave seam result in redundant imaging on edges of corresponding image sensors.

17. The system of claim 1 , wherein the facets of the multifaceted imaging structure are convex facets, the imaging region between two facets comprises a concave seam, and curvatures of the convex facets on either side of a concave seam result in rays from a given world point being mapped to edges of two adjacent image sensors.

18. The system of claim 1 , wherein the plurality of image sensors comprises a separate sensor for each facet of the multifaceted imaging structure.