A method and system for three-dimensional motion deblurring with different spatial blur kernels

Abstract

The invention discloses a method and a system for deblurring of space three-dimensional motion of different fuzzy cores. The method comprises the following steps of: step 1, obtaining a motion model set of which a frame rate on time domain is N times within imaging exposure time according to the result of three-dimensional motion tracking, wherein N is the number of cameras; step 2, calculating acontinuous motion path of each vertex of the motion model set via an interpolation algorithm; step 3, counting visible vertexes of the vertexes in the motion model set in every moment; step 4, calculating a visible surface patch set in every moment; step 5, calculating a point spread function of each visible surface patch on an imaging plane; step 6, solving an equation Ax=b, wherein the variablex to be solved is vein color of all the visible surface patches within the imaging exposure time, the matrix A is the point spread function of the visible surface patches and the b is a practically acquired image. The method and the system can be used for large-size motion blur problems comprising complex conditions, such as different space complex motions, occlusion, appearance and the like.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for three-dimensional motion deblurring with different spatial blur kernels. Background technique [0002] The camera has some inherent limitations under the classical imaging model, such as being limited by the frame rate. The frame rate of conventional video cameras is only 30 frames per second, which will greatly limit the acquisition of high-speed motion scenes. Therefore, it is of great research significance in computational photography to study the computational sensing mechanism based on camera arrays, break through the low frame rate limitation of a single camera, and achieve dynamic scene acquisition with high temporal resolution. Wilburn et al. first built a large-scale camera array consisting of 52 closely arranged cameras. All cameras perform interleaved short-exposure acquisitions on the time axis, thereby approximating a single-view high-speed c...

AI Technical Summary

Problems solved by technology

However, this acquisition system is mainly aimed at objects moving at high speed in the plane, and is not suitable for objects moving in the depth dimension.

[0004] Computational sensing modulates the light incident into the camera acquisition system, which can achieve high-quality motion scene deblurring and high frame rate acquisition systems. However, the disadvantage of this type of design is that it can only solve single-view linear motion, or The problem of high temporal resolution imaging of single-view long-distance planar scenes cannot simultaneously obtain multi-view high-spatial resolution information of the scene

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