Image Reconstruction Signal Phase Correction Using Two-Stage Search
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Solution Overview
Problem
Image generation devices, such as LiDAR and optical microscopes, suffer from image distortion due to differences between the pattern of emitted light and the actual position of information acquired, necessitating phase correction for accurate image reconstruction.
Innovation Solution
A method and system for correcting the phase of reconstruction signals using slope-based minimum search techniques to increase image resolution, involving initial and second phase correction values based on different phase search units, and transforming the domain of the image reconstruction signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If phase correction is performed using a single search method, then the correction process is simple, but the image resolution and accuracy are insufficient
Solution Approach 1:
The phase correction process is divided into two distinct stages: a first slope-based minimum search technique for initial correction and a second slope-based minimum search technique for fine-tuning. This segmentation allows each stage to use different search units and optimization strategies, achieving high resolution without overwhelming complexity in a single step.
Solution Approach 2:
The first slope-based minimum search technique performs preliminary phase correction to bring the reconstruction signal close to the optimal phase. This preliminary action reduces the search space for the second technique, enabling more precise correction while maintaining computational efficiency.
2Productivity
If a large phase search unit is used, then the correction process is fast, but the phase accuracy is reduced
Solution Approach 1:
The correction process uses two different phase search units: a larger first phase search unit for initial fast correction and a smaller second phase search unit for final precise adjustment. This allows the system to achieve both speed and accuracy by appropriately segmenting the search process.
Solution Approach 2:
The first slope-based minimum search technique with a larger phase search unit performs preliminary correction quickly, bringing the phase close to optimal. This preliminary fast correction reduces the burden on the second technique, which then uses a smaller search unit to achieve precise final adjustment.
3Ease of manufacture
If the pattern of emitted light is used directly for image generation, then the process is simple, but image distortion occurs
Solution Approach 1:
The system employs feedback mechanisms where the reconstruction signal is continuously adjusted based on the difference value between light information from adjacent pixels. The phase correction values are iteratively refined until the difference value meets a predetermined criterion, ensuring accurate image reconstruction that compensates for the pattern mismatch.
Solution Approach 2:
The system changes the phase parameter of the reconstruction signal to correct the mismatch between the emitted light pattern and the actual information positions. By adjusting the phase parameter through the slope-based minimum search techniques, the system achieves accurate image reconstruction without altering the fundamental simplicity of the light emission process.
Data Source
AI summary
An image generating device for obtaining an image of an object is proposed. The device may include a control module configured to generate a first signal having a first frequency component and a first phase component for a first axis direction, and a second signal having a second frequency component and a second phase component for a second axis direction. The device may also include an emitting unit configured to emit light to the object using the first signal and the second signal. The device may further include a light receiving unit configured to obtain light receiving signal based on returned light from the object.