Overlapping Multi-Camera Deblurring for Motion Blur Inversion
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Solution Overview
Problem
Existing sports broadcasting technologies struggle to effectively mitigate motion blur in fast-moving objects without compromising image quality or imposing logistical burdens, particularly in multi-camera setups.
Innovation Solution
A method utilizing a multiple camera system with overlapping fields to separate moving objects from static backgrounds, applying deblurring techniques to enhance clarity and reintegrating the objects into blurred backgrounds for seamless blending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-speed cameras with high shutter speeds are used to capture rapid motion, then motion blur is reduced and image clarity is improved, but light sensitivity decreases and image quality deteriorates
Solution Approach 1:
The patent segments the image processing task by separating moving objects from static background using multiple camera viewpoints. By dividing the scene into dynamic and static components, the system can apply different processing strategies: deblurring for moving objects while maintaining sharpness for static background, thus resolving the contradiction between capturing motion clarity and maintaining light sensitivity.
Solution Approach 2:
The patent uses multiple camera sensors to capture redundant copies of the same scene from different viewpoints. These copies are then processed to separate moving objects from background, allowing the system to reconstruct clear images of moving objects without being constrained by the light sensitivity limitations of individual high-speed camera shots.
2Measurement precision
If camera positioning is adjusted to track motion of athletes or vehicles, then motion blur is minimized, but logistical complexity increases
Solution Approach 1:
The system automatically identifies and separates moving objects from static background using algorithmic processing of multiple camera viewpoints. This self-service approach eliminates the need for manual camera tracking and positioning adjustments, reducing logistical complexity while maintaining motion capture clarity through automated image processing.
Solution Approach 2:
The patent replaces mechanical camera tracking systems with computational image processing. Instead of physically adjusting camera positions to follow moving objects, the system uses software algorithms to separate and process moving objects from multiple fixed camera viewpoints, thereby eliminating mechanical complexity while achieving the same clarity goal.
3Measurement precision
If multiple camera sensors are used to capture video images from different viewpoints, then motion blur can be inverted, but device complexity increases
Solution Approach 1:
The patent makes the multiple camera system universal by using the same set of cameras for both capturing the scene and providing reference data for motion inversion. The cameras serve dual purposes: capturing motion information and providing static background references, thereby reducing overall system complexity while enabling motion blur inversion.
Solution Approach 2:
The system discards the raw blurred images from individual cameras and recovers clear motion information by processing multiple viewpoints together. By discarding the problematic motion blur artifact and recovering the underlying clear scene structure through computational methods, the system achieves motion clarity without requiring complex individual camera systems.
Data Source
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AI summary
The present invention provides a system and method for utilizing multiple camera systems including at least three cameras, each camera having at least partly overlapping fields for removing blur in a moving object relative to a static background captured by the multiple camera system, comprising separating and extracting the moving object from the static background by isolating pixels corresponding to the moving object and distinguishing them from the static background by using images captured by the at least three cameras having field of views covering the moving object, enhancing clarity of the separated moving object by deblurring the separated moving, blurring the static background, reintegrating the deblurred separated moving object onto the blurred static background in the position of the images where the separated moving object was extracted