Ghost Imaging Pixel Grouping for Faster Image Reconstruction
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Solution Overview
Problem
Existing imaging apparatus using the ghost imaging principle face image quality degradation due to increased calculation complexity and uneven light detection intensity across divided areas, leading to inferior results compared to non-division methods.
Innovation Solution
The imaging apparatus divides light-emitting pixels into non-overlapping groups across multiple areas, allowing for reduced calculation by correlating detection intensity with intensity distribution changes specific to each group, thereby maintaining image quality and simplifying processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the illumination area is divided into multiple areas for random irradiation, then the total amount of calculation is reduced, but the image quality degrades due to uneven light detection intensity across areas
Solution Approach 1:
The patent changes the parameter of light emission by introducing variable transmission rate pixels that can dynamically adjust their light transmission intensity. This allows pixels to emit light at different rates (e.g., 100%, 50%, 25%, 0%), creating more diverse illumination patterns that improve the uniformity of light detection intensity across divided areas while maintaining reduced calculation complexity
Solution Approach 2:
The patent introduces dynamic control of pixel transmission rates, where pixels can switch between different transmission states during the imaging process. This dynamic adjustment enables the system to adapt illumination patterns in real-time, ensuring more uniform light distribution across divided areas and improving image quality without sacrificing calculation efficiency
2Measurement precision
If all pixels are used for random irradiation without area division, then image quality is maintained, but the amount of calculation increases
Solution Approach 1:
The patent divides the pixel array into multiple divided areas and performs ghost imaging calculations separately for each area. This segmentation reduces the overall calculation burden by breaking down the large-scale correlation computation into smaller, more manageable sub-problems, while the variable transmission rate pixels ensure sufficient light intensity variation within each divided area to maintain image quality
Solution Approach 2:
The patent uses variable transmission rate pixels to create more diverse illumination patterns within divided areas, providing sufficient light intensity variation without needing to process all pixels uniformly. This partial action approach focuses computational resources on key areas with adequate signal variation, reducing unnecessary calculations while maintaining image quality
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 reduces calculation time and maintains image quality by leveling light detection intensity across groups, achieving results comparable to non-division methods with fewer computational resources.
Implementation Method 1
a photodetector that detects reflected light from an object
Data Source
AI summary
The illumination device has a plurality of light-emitting pixels which are individually on/off controllable, and emits a reference light having a random intensity distribution. The photodetector detects light reflected from an object. The processing device reconstructs an image of the object OBJ, by calculating a correlation between a detection intensity b based on an output of the photodetector, and the intensity distribution I of the reference light. The plurality of light-emitting pixels are divided into the m (m≥2) areas each containing n (n≥2) adjoining light-emitting pixels. By selecting one light-emitting pixel from each of the m areas without overlapping, the n light-emitting pixel groups are determined. The imaging apparatus carries out sensing for every light-emitting pixel group.


