Time-Windowed Imaging Reconstruction for Fog and Range Separation
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Solution Overview
Problem
Conventional quantum radar cameras suffer from image quality degradation due to fog interference and indistinct images of objects at different distances, leading to reduced visibility and precision in image reconstruction.
Innovation Solution
An imaging apparatus that includes a distance measurement sensor, an illumination apparatus for sequentially switching reference light with random intensity distributions, a photodetector to measure reflected light, and a calculation processing device to apply time windows and calculate correlations between detection intensities and reference light distributions for improved image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional quantum radar camera integrates all reflected light components for correlation calculation, then measurement process is simple, but image quality degrades due to fog noise interference
Solution Approach 1:
The patent segments the reflected light detection process into multiple time windows, separating the detection of light from different distance ranges. By dividing the measurement time into distinct intervals corresponding to different target distances, the system isolates the target signal from fog noise that arrives at different times, thereby improving image quality without significantly increasing device complexity
Solution Approach 2:
The patent applies preliminary action by pre-defining time windows based on expected target distances before correlation calculation. The system prepares multiple time window configurations in advance, allowing it to selectively integrate light signals from specific distance ranges, thus eliminating fog noise interference before the correlation calculation step
2Device complexity
If conventional quantum radar camera uses single frame integration for multiple objects at different distances, then device structure is simple, but image reconstruction precision deteriorates due to mixed signals
Solution Approach 1:
The patent segments the image reconstruction process by creating multiple time windows that correspond to different distance ranges. Each time window captures light reflected from objects at specific distances, allowing separate correlation calculations for each distance range. This produces multiple reconstructed images that can be individually optimized, significantly improving reconstruction precision for objects at different distances while maintaining relatively simple device structure
Solution Approach 2:
The patent introduces a time dimension to the traditional spatial imaging approach. By adding temporal segmentation through multiple time windows, the system distinguishes objects at different distances along the time axis, transforming a single spatial image problem into multiple temporal-spatial image problems that can be solved independently with higher precision
3Productivity
If conventional quantum radar camera integrates reflected light without time filtering, then detection process is fast, but visibility is reduced due to noise from non-target objects
Solution Approach 1:
The patent segments the detection process into multiple time windows that correspond to different distance ranges. By integrating light signals only within the time window corresponding to the target distance, the system quickly filters out noise from non-target objects (such as fog) that arrive at different times. This maintains fast detection speed while significantly improving visibility through selective signal integration
Solution Approach 2:
The patent applies preliminary action by pre-calculating and storing time window parameters based on expected target distances and light travel times. During actual detection, the system simply applies the pre-defined time windows to the detected light signals, enabling fast noise filtering without requiring complex real-time calculations, thus maintaining high detection speed while improving visibility
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 solution enhances image quality by filtering out non-target-related effects and separating objects at different distances, resulting in improved visibility and precision of reconstructed images.
Implementation Method 1
a photodetector structured to measure reflected light from an object
Implementation Method 2
a distance measurement sensor structured to detect the distance to a target
Data Source
AI summary
In an imaging apparatus, a distance measurement sensor detects the distance to a target TGT. An illumination apparatus sequentially irradiates reference light S1 having a spatially random intensity distribution. A photodetector measures reflected light S2 from an object OBJ. A calculation processing device applies a time window that corresponds to an output of the distance measurement sensor to an output of the photodetector, and calculates a correlation between the detection intensity based on the signal included in the time window and the intensity distribution of the reference light so as to reconstruct a reconstructed image of the target.