Multi-Camera Motion Deblurring for Fast-Moving Objects
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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 them into a blurred background, ensuring seamless transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing 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 and image quality deteriorate
Solution Approach 1:
The patent segments the image into moving objects and static background components. By separating these elements, the system can apply different processing techniques: deblurring for moving objects while maintaining natural blur for the background, thus achieving clarity without requiring excessive shutter speeds that would harm light sensitivity.
Solution Approach 2:
The patent applies local quality by treating moving objects and static background differently. Moving objects receive deblurring processing to enhance clarity, while the background maintains its natural appearance. This localized approach allows optimal image quality for each element without compromising overall light sensitivity.
2Manufacturing precision
If camera positioning is adjusted to track motion and minimize motion blur, then image clarity is improved, but logistical complexity increases
Solution Approach 1:
The patent enables the image processing system to automatically identify and separate moving objects from static background without requiring manual camera positioning adjustments. The system self-adjusts by analyzing motion patterns and applying appropriate processing algorithms, eliminating the need for complex logistical coordination of camera movements.
Solution Approach 2:
The patent replaces mechanical camera positioning adjustments with digital image processing techniques. Instead of physically tracking and repositioning cameras to follow moving objects, the system uses computational methods to identify and process moving objects, thereby reducing logistical complexity while maintaining image clarity.
3Manufacturing precision
If multiple cameras are used to capture fast-moving objects, then coverage and clarity are improved, but system complexity and coordination requirements increase
Solution Approach 1:
The patent merges the data from multiple cameras by identifying overlapping fields of view and combining information from all cameras. This unified approach allows the system to leverage the strengths of each camera while maintaining overall system simplicity, as the processing system automatically integrates data without requiring complex coordination between individual cameras.
Solution Approach 2:
The patent creates a universal processing system that can handle multiple cameras with different configurations and viewpoints. The system applies consistent deblurring and separation algorithms across all camera inputs, making the system adaptable to various multi-camera setups without increasing operational complexity.
Data Source
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.