Digital Holographic Vibration Imaging with Integrated Phase Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging vibrometry systems suffer from systematic phase drift, which limits their effective range, resolution, and power, and often require complex and costly hardware configurations with additional processing and synchronization to compensate for phase perturbations.
Innovation Solution
The integration of a compensation signal within the final image, utilizing multiple measurements and poly pulse processing, along with mode matching and pupil or image plane imaging, reduces hardware complexity and processing burdens while enhancing detection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a segregated monitoring channel is used to compensate for systematic phase drift, then phase drift compensation is achieved, but hardware complexity and cost increase significantly
Solution Approach 1:
The patent combines the phase drift compensation function with the main imaging channel by integrating a compensation signal directly into the holographic imaging process. Instead of using a separate monitoring channel, the system embeds reference information within the imaging path itself, allowing phase correction to occur naturally during image formation. This merging eliminates the need for duplicate hardware components while maintaining compensation capability.
Solution Approach 2:
The imaging channel is designed to serve dual purposes: capturing target information and providing phase drift reference signals simultaneously. The system uses the imaging path itself to generate compensation data through analysis of the optical field, making the imaging system universal in that it performs both imaging and self-calibration functions without requiring dedicated separate channels.
2Measurement precision
If a segregated monitoring channel is used to compensate for systematic phase drift, then phase drift compensation is achieved, but processing and synchronization complexity increase
Solution Approach 1:
The patent merges the compensation signal extraction and synchronization processes with the main image processing pipeline. By embedding reference information in the imaging data stream itself, the system performs phase drift compensation as an integrated part of the standard imaging processing workflow, eliminating the need for separate data streams and their associated synchronization requirements.
3Length of moving object
If amplification is used to enhance system range, then detection range is improved, but systematic phase drift increases
Solution Approach 1:
The system implements a feedback mechanism where the imaging channel continuously monitors the optical field for phase drift indicators caused by amplification. This feedback information is then used to dynamically adjust and correct phase errors in real-time, allowing the system to maintain phase stability even when operating at extended ranges requiring amplification.
Solution Approach 2:
The system performs preliminary characterization of the amplification-induced phase drift through analysis of the optical field in the imaging path. By understanding and compensating for these systematic phase errors in advance, the system can maintain measurement precision across extended detection ranges where amplification is necessary.
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
This approach improves the detection precision and range of imaging systems by directly integrating phase correction into the imaging process, reducing hardware costs and complexity while maintaining or improving performance metrics such as range, resolution, and power throughput.
Implementation Method 1
mixing a compensation signal to be viewed in a final image including target imaging information
Implementation Method 2
digital holographic vibration imaging
Implementation Method 3
poly pulse processing applied to each pixel in a volume of holographic data
Implementation Method 4
mode matching for a compensation signal to enhance mixing, reduce processing burdens, and improve final effective detection precision
Data Source
AI summary
An example system includes a master oscillator that provides a master oscillator beam, a first fiber beam splitter that splits the master oscillator beam into a first branch and a second branch, a second fiber beam splitter that splits the first branch into an imaging branch and an amplified characteristic branch, and a compensation branch mixer that mixes the second branch and the amplified characteristic branch into a compensation branch. The example system includes transmission optics that direct the imaging branch to a target location, an imaging mixer that mixes the compensation branch and a reflected image from the target location into an imaging signal, and an acquisition device that receives the imaging signal as a final image. An example system optionally includes a mode matching lens that applies a selected wavefront characteristic to the compensation branch.