Wave-front Reconstruction via Intensity Distribution Matching
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Solution Overview
Problem
Current wave-front sensors in optical systems are technically complex and computationally resource-intensive, making them inefficient for measuring wave-front distortions and reconstructing the original wave front, particularly in real-time applications.
Innovation Solution
A method involving the measurement of two-dimensional light intensity distribution in multiple images at different optical planes with optical path differences, where one-dimensional cumulative distribution functions are determined and matched to estimate wave-front slopes, facilitating a faster and more efficient reconstruction of the wave front without the need for intricate optical elements or computational transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wave-front sensors (Shack-Hartmann, pyramidal, shearing interferometry) are used to measure wave-front deformations, then wave-front reconstruction can be achieved, but the device complexity increases and computational resource requirements increase
Solution Approach 1:
The patent extracts the wave-front sensing function from complex dedicated optical sensors and implements it using standard imaging camera systems. By taking out the specialized optical elements (lens arrays, pyramidal prisms, shearing interferometers) and replacing them with conventional imaging optics, the device complexity is reduced while maintaining wave-front measurement capability through computational analysis of intensity distributions.
Solution Approach 2:
The patent replaces mechanical/optical wave-front sensing mechanisms with a computational approach. Instead of using physical wave-front sensors with complex optical paths, the system uses standard imaging cameras to capture intensity distributions and applies computational algorithms (optical path difference analysis, phase retrieval) to reconstruct wave-front information, substituting mechanical complexity with computational processing.
2Measurement precision
If traditional wave-front sensors are used to measure wave-front slopes, then wave-front reconstruction can be performed, but the computational processing time increases
Solution Approach 1:
The patent performs preliminary action by capturing multiple images at different optical planes (different focal positions) simultaneously or in rapid succession. By pre-acquiring the intensity distribution data at multiple depths, the system prepares the necessary information for wave-front reconstruction in advance, enabling faster real-time processing when wave-front analysis is required, rather than performing computationally intensive measurements during the reconstruction phase.
3Measurement precision
If multiple optical elements are added to the optical system for wave-front sensing, then wave-front measurement capability is improved, but the overall system complexity and cost increase
Solution Approach 1:
The patent applies universality by making standard imaging camera systems multi-functional. The same imaging optics and detectors used for常规 imaging are also employed for wave-front sensing. By capturing intensity distributions at different optical planes and using computational algorithms, the system achieves wave-front measurement capability without adding specialized optical elements, allowing a single optical system to serve both imaging and wave-front sensing functions.
Data Source
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AI summary
The invention relates to a method for the two-dimensional reconstruction of wave fronts (104) of light for use in an optical system (100) comprising: measuring the distribution function of the light intensity in at least two images at different optical planes (101, 102) having an optical path difference. In particular this method is suitable for probing the tomographical distribution of wave fronts of electromagnetic fields with an image detector, e.g. any standard two-dimensional camera.