Digital Image Stabilization via Angular Movement Detection
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Solution Overview
Problem
Existing image stabilization systems face challenges in maintaining image stability under low signal-to-noise ratios and high-frequency vibrations, particularly in environments with limited light and dynamic platforms, as they struggle to correct distortions caused by angular movements beyond a few milliradians and frequencies above 1 Hertz.
Innovation Solution
A system that employs angular movement detection devices, such as gyroscopes, coupled with processors to shift detected images relative to a spatial and temporal baseline, compensating for pitch, yaw, and roll movements by determining and applying shifting displacements and directions based on the detected angular outputs, thereby stabilizing the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a correlator processes the detected image to stabilize it by detecting movement of landmarks, then image stabilization is achieved for stationary platforms, but the operation becomes ineffective in low signal-to-noise ratio conditions and cannot handle high-frequency vibrations above 1 Hertz
Solution Approach 1:
The patent replaces the correlator-based image processing approach with a direct angular movement detection system using gyroscopes. Instead of processing images to detect landmark movements, the system uses angular movement detection devices to directly measure platform rotations and applies compensating shifts to the image, achieving superior performance in low SNR and high-frequency vibration conditions
Solution Approach 2:
The patent introduces an intermediary angular movement detection device (gyroscope) that measures platform rotations independently of the image signal. This intermediary device provides accurate movement data even when image quality is poor, enabling reliable image stabilization in conditions where direct image processing fails
2Measurement precision
If gyroscope-based stabilization mechanically rotates gimbals in the opposite direction of detected rotations, then angular movements are compensated, but the system becomes complex and cannot effectively correct distortions beyond a few milliradians
Solution Approach 1:
The patent replaces complex mechanical gimbal rotation systems with a digital image shifting approach. Instead of physically rotating gimbals using servo motors, the system detects angular movements and applies corresponding pixel shifts to the digital image data, significantly reducing mechanical complexity while maintaining or improving stabilization accuracy
Solution Approach 2:
The patent creates a digital copy of the image and applies shifting transformations to this copy rather than physically moving the image detector. This allows for precise, flexible compensation of angular movements without the mechanical constraints and complexities of physical gimbal systems
3Measurement precision
If all mirrors in the optical assembly move as a result of vibrations except one, then image stabilization can be achieved by moving that single mirror, but the system requires precise mechanical control and cannot handle high-frequency vibrations effectively
Solution Approach 1:
The patent replaces mechanical mirror movement systems with digital image shifting. Instead of physically moving mirrors at high frequencies to compensate for vibrations, the system detects angular movements and applies corresponding shifts to the digital image data, enabling effective compensation of high-frequency vibrations that would be difficult to achieve mechanically
Solution Approach 2:
The patent implements a dynamic digital image shifting system that can respond to high-frequency vibrations with minimal latency. The system continuously detects angular movements and applies real-time shifting to the image stream, providing faster and more flexible response compared to mechanical mirror systems with inherent inertia and bandwidth limitations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively stabilizes images to high accuracy, even in low SNR conditions and high-frequency vibrations, ensuring clear and detailed images by shifting the image in directions opposite to the detected movements, thus overcoming the limitations of prior art.
Implementation Method 1
an angular movement detection device firmly coupled with the image detector... detects at least a portion of angular movements of the image detector about at least one axis of rotation
Data Source
AI summary
System for producing a stabilized image of a scene viewed by an image detector, the image detector detecting a plurality of images of the scene, the image detector being supported by gimbals, the gimbals including a servo system for moving the gimbals at least one degree of freedom, the system including an angular movement detection device firmly coupled with the image detector, and a processor coupled with the angular movement detection device and with the image detector, the angular movement detection device detecting at least a portion of angular movements of the image detector about at least one axis of rotation, the angular movement detection device producing an angular output respective of the portion, the processor receiving the images from the image detector, and the angular output from the angular movement detection device, the processor determining at least one shifting displacement and at least one shifting direction for shifting a current image detected by the image detector, relative to a reference image of the scene detected by the image detector, according to the angular output, the processor producing the stabilized image, by shifting the current image by the shifting displacement and in the shifting direction.