Digital Imaging Stabilization Using Reference Camera Frame Comparison
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Solution Overview
Problem
Digital imaging systems face challenges in stabilizing images due to unwanted motion caused by user movement, vehicle vibrations, and atmospheric effects, which affects the accuracy of target tracking and pointing in applications using multi-spectral and hyper-spectral sensors.
Innovation Solution
The implementation of a digital imaging stabilization system that uses a reference camera, processor, and memory to calculate frame shifts based on target region changes between image frames, allowing for real-time adjustment of movable targeting devices to maintain focus on a target region, even in the presence of environmental motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If guidance systems are used to reduce unwanted motion between digital frames, then image stabilization is improved, but data acquisition accuracy is reduced due to insufficient real-time rate
Solution Approach 1:
The patent replaces mechanical/guidance systems with a digital image processing system. Instead of using physical sensors and mechanical adjustment mechanisms to stabilize images, the invention uses software-based frame-to-frame comparison and digital image registration techniques to achieve stabilization while maintaining real-time performance and accuracy.
Solution Approach 2:
The patent uses one image frame as a reference copy to stabilize subsequent frames. By comparing and aligning consecutive frames against a reference frame, the system achieves real-time stabilization without requiring external guidance systems, thereby maintaining both accuracy and real-time performance.
2Stability of the object's composition
If digital image processing is used to stabilize images, then motion between frames is reduced, but processing time and computational complexity increase
Solution Approach 1:
The patent divides the image stabilization process into discrete frame-by-frame processing steps. Each frame is independently compared and aligned with the reference frame, allowing for efficient parallel processing and reducing overall computational burden while maintaining real-time performance.
Solution Approach 2:
The patent applies partial action by focusing processing only on regions of interest or key feature points within frames rather than processing every pixel. This selective approach reduces computational complexity and processing time while still achieving effective image stabilization.
Data Source
AI summary
One apparatus embodiment includes a target tracking apparatus. The apparatus includes a reference camera, a processor to receive image data from the reference camera, and memory connected to the processor. The apparatus includes instructions storable in the memory and executable by the processor to process the image data to determine a target region within a first frame of the image data. The device also includes instructions that can be executed to compare image data of the first frame with image data of a second frame to locate the target region in the second frame.


