METHOD AND APPARATUS FOR MOTION INVARIANT IMAGING
First Claim
1. A method for deblurring images, comprising:
- during imaging of a moving object, blurring an entire scene that includes the moving object, said blurring being invariant to velocity of the moving object;
deconvoluting the blurred entire scene and generating a reconstructed image, the reconstructed image bearing the moving object in a deblurred state.
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Accused Products
Abstract
Object motion during camera exposure often leads to noticeable blurring artifacts. Proper elimination of this blur is challenging because the blur kernel is unknown, varies over the image as a function of object velocity, and destroys high frequencies. In the case of motions along a 1D direction (e.g. horizontal), applicants show that these challenges can be addressed using a camera that moves during the exposure. Through the analysis of motion blur as space-time integration, applicants show that a parabolic integration (corresponding to constant sensor acceleration) leads to motion blur that is not only invariant to object velocity, but preserves image frequency content nearly optimally. That is, static objects are degraded relative to their image from a static camera, but all moving objects within a given range of motions reconstruct well. A single deconvolution kernel can be used to remove blur and create sharp images of scenes with objects moving at different speeds, without requiring any segmentation and without knowledge of the object speeds.
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Citations
21 Claims
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1. A method for deblurring images, comprising:
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during imaging of a moving object, blurring an entire scene that includes the moving object, said blurring being invariant to velocity of the moving object; deconvoluting the blurred entire scene and generating a reconstructed image, the reconstructed image bearing the moving object in a deblurred state. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. Apparatus for deblurring images, comprising:
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a camera controller, during imaging of a moving object the controller effectively moving a camera to blur an entire scene that includes the moving object and said blurring being in a manner that is invariant to velocity of the moving object; and a deconvolution processor coupled to receive the blurred entire scene and deconvoluting the blurred entire scene, resulting in a reconstructed image bearing the moving object in a deblurred state. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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21. A motion invariant imaging system comprising:
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controller means for effectively controlling a camera during imaging of a moving object, and blurring an entire scene that includes the moving object; and deconvolution means for deconvoluting the blurred entire scene and generating a reconstructed image bearing the moving object in a deblurred state; wherein the controller means through the camera blurring the entire scene includes blurrying static objects and the moving object using a single point spread function which is invariant to object motion, such that the deconvoluting removes blur from the blurred entire scene using the point spread function, without segmenting the moving object and without estimating velocity of the moving object.
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Specification