Optical Information Detector 1:N Over-Sampling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Holographic optical information processing systems face challenges in achieving high storage density while maintaining data detection reliability, as existing methods like 1:1 pixel matching suffer from misalignment issues and 1:3 and 1:2 over-sampling methods compromise storage density for reliability.
Innovation Solution
An optical information detecting method using a 1:N over-sampling approach, where N is greater than 1, involving excessive detection pixels to detect images with frame masks, monitor light intensity, determine valid detection pixel arrangements, and sample pixels to reproduce data pages efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If 1:1 pixel matching method is used, then storage density is improved, but detection reliability deteriorates due to misalignment between data pixels and detection pixels
Solution Approach 1:
The patent applies over-sampling by using more detection pixels than strictly necessary (1:N ratio where N>1). Each data pixel is detected by multiple detection pixels, creating redundant measurements that maintain reliability even when alignment shifts occur. This excessive sampling approach trades some storage density for robustness against misalignment.
Solution Approach 2:
The patent changes the sampling parameter from 1:1 matching to 1:N over-sampling. By adjusting the sampling ratio parameter, the system can operate at optimal points between storage density and detection reliability, allowing flexible adaptation to different alignment conditions and application requirements.
2Reliability
If 1:3 over-sampling method is used, then detection reliability is improved, but storage density deteriorates due to using 9 detection pixels for one data pixel
Solution Approach 1:
The patent uses partial over-sampling with a configurable 1:N ratio where N can be adjusted based on requirements. Unlike fixed 1:3 sampling that always uses 9 pixels, the patent allows flexible selection of N value to achieve the minimum necessary sampling for reliability while maximizing storage density.
Solution Approach 2:
The patent introduces dynamic adaptability by allowing the sampling ratio N to be adjusted based on actual alignment conditions and performance requirements. This dynamic approach enables the system to optimize between storage density and detection reliability in real-time or根据不同应用场景.
3Reliability
If 1:2 over-sampling method is used, then detection reliability is improved, but storage density deteriorates due to using 4 detection pixels for one data pixel
Solution Approach 1:
The patent applies controlled over-sampling with adjustable N factor. Rather than fixed 1:2 sampling, the system can dynamically select the appropriate sampling level, using minimal over-sampling when possible to preserve storage density while maintaining sufficient detection reliability.
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 method enables reliable data detection with high storage density by effectively matching frame marks and determining valid detection pixels, thereby improving the reliability and capacity of optical information storage systems.
Implementation Method 1
using diffracted beam generated from the interference pattern by irradiating the reference beam to the stored interference pattern
Implementation Method 2
The signal beam and the reference beam interfere with each other in the optical information storage medium and the images of the data pages loaded to the signal beams are recorded in the form of interference patterns
Data Source
AI summary
There is provided an optical information detecting method comprising: detecting an image of a source data page containing a frame mask by the use of an optical detection region within respective 1:N (where N is greater than 1) excessive detection pixels; monitoring a light intensity of the detected image and determining a matching state of the frame mask; determining an arrangement pattern of valid detection pixels of the detection pixels in accordance with the determined matching state of the frame mask and detecting sampling detection pixels; and sampling an image of the sampling detection pixels from the detected image and reproducing the image of the source data page. There is also an optical information detector used to put the optical information detecting method into practice. Accordingly, it is possible to detect optical information with high reliability without performing complex calculation by the use of a 1:N over-sampling method.